field_remote_option

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

<h1> Senior Analyst, Data Science, Capacity Modeling and Optimization</h1> Job Locations US-Remote | US-MA-Boston | US-NH-Portsmouth | US-OH-Columbus | US-TX-Plano | US-WA-Seattle <dl> <dt>ID</dt> <dd> 2025-69121 </dd> <dt>Position Type</dt> <dd> Full-Time </dd> <dt>Minimum Salary</dt> <dd> USD $104,000.00/Yr. </dd> <dt>Maximum Salary</dt> <dd> USD $197,000.00/Yr. </dd> <dt>Typical Starting Salary</dt> <dd> $123,000 - $174,000 </dd> <dt>Flexible Time Off Annual Accrual - days</dt> <dd> 20 </dd> <dt>Application Deadline</dt> <dd> 3/14/2025 </dd> </dl> <h2> Pay Philosophy </h2> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. <h2> Description </h2> The creative problem solvers in Liberty Mutual’s Insights &amp; Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you’ll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working. The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data—data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team’s success now and into the future. The USDS Claims and Service Data Science (CSDS) team is seeking a talented individual to join our Capacity Modeling and Optimization team. If you are enthusiastic about utilizing your data science expertise to enhance staffing strategies and optimize operational efficiency, this role presents an excellent opportunity for you. In this role, you will help build and implement advanced staffing optimization models, forecasting, and predictive models that leverage best-in-class data science tools and techniques. This position offers an exciting opportunity to blend analytical expertise with practical business insights to shape the future of our claims operations. As a Data Scientist, you will work closely with a high-performing team of data scientists and claims professionals, utilizing your analytical skills, project management abilities, and intellectual curiosity to drive impactful results. You will have the opportunity to influence the entire modeling process, from initial analysis to model deployment and ongoing evaluation. Successful candidates will possess a solid understanding of business objectives, hands-on experience with data analysis, and foundational knowledge of predictive modeling techniques. Strong communication and interpersonal skills are crucial, as you will work collaboratively with team members and internal partners to implement, monitor, and enhance our models. This role will play a vital part in optimizing staffing capabilities and improving the overall efficiency of the organization’s claims operations. **This role may have in-office requirements depending on candidate location** Responsibilities: <ul> <li>Apply data science techniques to manipulate large structured and unstructured datasets, generating insights that inform business decisions.</li> <li>Identify and test hypotheses as part of building predictive models for staffing and forecasting applications, ensuring statistical significance.</li> <li>Translate quantitative analyses into accessible visuals for non-technical audiences, providing clear interpretations of data findings.</li> <li>Support the business in making informed trade-offs by providing insights into likely outcomes of different staffing scenarios.</li> <li>Customize analytic solutions to address specific client needs and operational challenges.</li> <li>Demonstrate coding proficiency in Python, with a strong grasp of data science libraries and frameworks.</li> <li>Utilize an understanding of optimization algorithms and their application in business contexts, and engage in building predictive models using contemporary machine learning (ML) and large language model (LLM) architectures as needed.</li> <li>Exhibit strong communication skills to effectively convey project proposals and outcomes to non-technical stakeholders.</li> <li>Engage actively with the Data Science community and leverage knowledge of MLOps standards, exploratory data analysis (EDA), and data visualization.</li> <li>Query databases using SQL to support data-driven decision-making.</li> </ul> <h2> Qualifications </h2> <ul> <li>Solid knowledge of predictive analytics techniques and statistical diagnostics of models.</li> <li>Advance knowledge of predictive toolset; expert resource for tool development.</li> <li>Demonstrated ability to exchange ideas and convey complex information clearly and concisely.</li> <li>Has a value-driven perspective with regard to understanding of work context and impact.</li> <li>Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master’s degree, a minimum of 4+ yrs. of experience with a bachelor’s degree.</li> </ul> <h2> About Us </h2> As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: <a href="https://LMI.co/Benefits" target="_blank">https://LMI.co/Benefits</a> Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices <ul> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf" target="_blank">California</a></li> <li><a href="https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf" target="_blank">Los Angeles Incorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2025/01/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf" target="_blank">Los Angeles Unincorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/pa-philadelphia-fair-chance-law.pdf" target="_blank">Philadelphia</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-san-francisco-fair-chance.pdf" target="_blank">San Francisco</a></li> </ul> <h2>Options</h2> <a href="https://careers-libertymutual.icims.com/jobs/69121/senior-analyst%2c-data-science%2c-capacity-modeling-and-optimization/job?mode=apply&amp;apply=yes&amp;hashed=-1834448064" target="_blank"> Apply NowApply </a><a href="https://careers-libertymutual.icims.com/jobs/69121/senior-analyst%2c-data-science%2c-capacity-modeling-and-optimization/referral?hashed=-625979090" target="_blank"> Email this job to a friendRefer </a> Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. <h2> Need help finding the right job? </h2> We can recommend jobs specifically for you! <a href="https://careers-libertymutual.icims.com/connect?back=intro&amp;findajob=1&amp;hashed=-625979090" target="_blank"> Click here to get started. </a> <a href="https://icims.help/candidate-faq" target="_blank">System Troubleshooting</a>Software Powered by iCIMS <a href="http://www.icims.com/platform_help?utm_source=platform&amp;utm_medium=link&amp;utm_content=page1&amp;utm_campaign=platform%20help" target="_blank">www.icims.com</a>

Liberty Mutual Strategic Ventures

Senior Analyst, Data Science, Capacity Modeling and Optimization

<h3> Position Summary </h3> Workforce Analytics Today’s disruptive environment calls for a different mindset and a new approach to drive organizational performance and enhance human capital development. Deloitte Workforce Analytics brings that insight through data and analytics to help our clients find signals in the noise and align workforce actions with business outcomes. With our HR domain breadth and industry depth, we bring hands-on experience in people analytics, workforce listening and analytics, and market sensing. Recruiting for this role ends on 6/30/2025. Work you’ll do As a Visier People Analytics Senior Consultant, you will engage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.). You’ll work with an experienced team to help organizations navigate the future with confidence, embracing decision-making with clear, data-driven insights. Depending on your passion, capability, and experience your project work could include the following: <ul> <li>Conduct current state assessments or discoveries to understand client people analytics maturity, synthesize findings, and communicate key themes.</li> <li>Lead and support the development of a client's people analytics vision, strategy, operating model, and roadmap for scaling people analytics.</li> <li>Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.</li> <li>Assist with end-to-end data and analytics processes, including cleansing and wrangling structured and unstructured data, designing, and building analytics and models, extracting insights and findings, visualizing outputs, and communicating outcomes to the client and other stakeholders.</li> <li>Leverage quantitative and qualitative data and analytics methods to analyze client data across HR and people analytics focus areas.</li> <li>Define top client business questions and challenges by conducting client interviews, synthesizing findings, and identifying key themes coming out of discovery work and client communications.</li> <li>Develop data visualizations that highlight key insights to help clients make informed business decisions related to human capital issues and communicate these insights to relevant stakeholders.</li> <li>Engage, communicate, and build relationships with internal and external stakeholders across geographies—both national and international—on both technical and non-technical people analytics topics.</li> </ul> Required Qualifications: <ul> <li>Bachelor’s degree</li> <li>4+ years of hands-on experience in Human Capital Consulting and/or closely related experience in a consultative people analytics role.</li> <li>4+ years of experience with People Analytics tools, specifically including a combination of the following: Visier, Power BI, Tableau, and/or Workday HCM.</li> <li>Proven experience with at least one Visier implementation, either by deploying Visier as the primary People Analytics platform for an organization or by expanding Visier capabilities through the implementation of new data subjects.</li> <li>4+ years of experience serving the HR Domain in areas such as recruiting, attrition, DE&amp;I, compensation and benefits, performance, and/or learning and development.</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.</li> <li>Limited immigration sponsorship may be available.</li> </ul> Preferred Qualifications: <ul> <li>4+ years of experience utilizing Visier to deliver actionable insights in the role of a People Analytics practitioner.</li> <li>4+ years of external Consulting experience within a firm environment.</li> </ul> <ul> <li>Strong communication skills (to be able to effectively communicate with clients and Deloitte teams across the globe).</li> <li>Strong project management and technical skills including familiarity with the end-to-end lifecycle of a project.</li> <li>Strong familiarity with People Analytics data and technology architecture from data source to ingestion, transformation, and visualization.</li> <li>Advanced Excel, Word, and PowerPoint skills.</li> <li>Understanding of and exposure to advanced analytics techniques and approaches.</li> <li>Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.</li> <li>Strong oral and written communication skills, including presentation skills.</li> <li>Ability to work independently and manage multiple task assignments.</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $119,025 to $198,375. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC25 #HCaaS25 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Deloitte

Visier People Analytics Senior Consultant

<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets. The AI Solution Architect in Deloitte’s Human Capital Consulting HC Forward/Asset Development will be tasked with leading the design, architecture, and implementation of innovative Data products and AI solutions aimed at enhancing the Human Capital Offering Portfolio. This role is pivotal in leveraging Data and AI technologies, requiring a deep understanding of Data Science, Statistics, Machine Learning, Generative AI, Large Language Models (LLMs), and Multimodal models. The AI Architect will provide real-time Human Capital insights and develop technology solutions that drive and sustain organizational performance and engagement. Additionally, the AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position. Recruiting for this role ends on 12/31/24. Work you’ll do: Strategic Alignment and Vision <ul> <li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts</li> <li>Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases</li> </ul> Architectural Design and Technology Selection <ul> <li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions</li> <li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools</li> <li>Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models</li> </ul> Collaboration and Stakeholder Engagement <ul> <li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design</li> <li>Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements</li> <li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies</li> </ul> Operational Excellence and Continuous Improvement <ul> <li>Be responsible for the successful execution of AI-powered applications using agile methodology</li> <li>Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms</li> <li>Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements</li> </ul> Risk Management and Ethical Considerations <ul> <li>Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations</li> <li>Address potential issues such as training data poisoning, AI model theft, and adversarial samples</li> </ul> Product Strategy and Business Understanding <ul> <li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products</li> <li>Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches</li> </ul> Research and Development <ul><li>Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost</li></ul> Tool Development and Data Management <ul> <li>Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization</li> <li>Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure</li> </ul> Required Qualifications: <ul> <li>Bachelor's Degree in any of Computer Science, Engineering, Statistics, Data Science or a related field.</li> <li>8+ years of experience leading a technical team (both onshore and offshore).</li> <li>8+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments</li> <li>2+ years of experience building GenAI environments</li> <li>8+ years of experience translating requirements into client ready design documents</li> <li>8+ years of experience with application architecture analysis, design, and delivery</li> <li>8+ years of full system development life cycle implementations</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve</li> <li>Limited immigration sponsorship may be available</li> </ul> Preferred Qualifications: <ul> <li>Advanced degrees such as Masters is preferred</li> <li>Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect</li> <li>8+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pleasanton, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $167,325 to $278,875. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC24 #HCaaS24 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

AI Solution Architect

<h2>DESCRIPTION</h2> The Customer Engagement Technology (CET) organization powers customer service by developing elegant customer and CS Associate (CSA) facing products globally. These products offer effortless self-service and automation solutions to our customers. If customers prefer to interact with a human, we enable CSAs to effectively and elegantly solve customers’ issues using our associate-facing products powered through human-centered design. We are seeking a ML (Machine Learning) Quality Process Lead, who are fluent in Italian and English, to join the Omni Machine Learning Data Associate (MLDA) team within CET to help manage quality management processes to analyze, improve annotation, testing, and contact reading accuracy to support new feature and product launches for Customer Service Large Language Models (LLMs). Key job responsibilities - Review annotations by paying close attention to details, making necessary adjustments to ensure high-quality data that supports ongoing model improvement. - Perform root cause analysis using basic data analysis in Excel and SageMaker (annotation tool) on annotations to identify opportunities for improving data accuracy. - Provide support for ML model training data annotations, assisting annotators in maintaining high-quality work by enforcing best practices. - Improve Standard Operating Procedures (SOPs) by sharing findings from reviews or deep dives, ensuring a consistent standard of excellence across the team. - Review LLM testing results provided by testers, paying close attention to details, to ensure their accuracy and identify areas for improvement. - Carefully monitor the accuracy of multiple annotation projects and proactively communicate any blockers or potential delays in the completion of quality checks. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team Omni MLDA is a team that remotely works to develop and fine-tune generative AI machine learning models and executes testing plans to take the customer service experience to the next level. This is executed by teams of MLDAs (Machine Learning Data Associate) working alongside Science and Product/Program Management teams to release localized customer-facing and agent-facing CS solutions, while allowing them to focus on the development of their new products. In addition, teams with existing CS experiences can rely on the Omni MLDA team to keep their solutions up-to-date and push identified technical defects to tech partner teams or defect elimination teams. <h2>BASIC QUALIFICATIONS</h2> - Language fluency in Italian (Native-level) and English. - Experience in creating and managing ML annotation processes, testing models, and quality assurance methodologies. - Analytical and problem-solving skills to identify patterns, inconsistencies, and areas for improvement. - Ability to thoroughly investigate and identify misalignment between annotations and SOPs, as well as the root causes of inaccuracies. - Strong ownership and accountability to meet SLAs, and proactive communication regarding blockers, and proposed solutions. - Ability to collaborate closely with cross-functional teams, understand project/stakeholder requirements, and align annotation efforts and model testing accordingly. <h2>PREFERRED QUALIFICATIONS</h2> - Bachelor's Degree - Experience in annotation - Familiarity in using Excel - Experience with project management and stakeholder management Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations" target="_blank">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit <a href="https://www.aboutamazon.com/workplace/employee-benefits" target="_blank">https://www.aboutamazon.com/workplace/employee-benefits</a>. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon

ML Quality Process Lead - Italian , Customer Engagement Technologies

<h1> Senior Data Analytics Engineer, USRM Modeling Data Solutions</h1> Job Locations US-Remote | US-OH-Columbus | US-WA-Seattle | US-MA-Boston | US-NH-Portsmouth <dl> <dt>ID</dt> <dd> 2025-68773 </dd> <dt>Position Type</dt> <dd> Full-Time </dd> <dt>Minimum Salary</dt> <dd> USD $66,000.00/Yr. </dd> <dt>Maximum Salary</dt> <dd> USD $157,000.00/Yr. </dd> <dt>Typical Starting Salary</dt> <dd> $76,000-$125,000 </dd> <dt>Flexible Time Off Annual Accrual - days</dt> <dd> 20 </dd> <dt>Application Deadline</dt> <dd> 3/11/25 </dd> </dl> <h2> Pay Philosophy </h2> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. <h2> Description </h2> If you are passionate about data engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines auto and personal lines property teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. **This is a ranged posting, level offered will be based on skills and experience at manager discretion.** **This role may have in-office requirements depending on candidate location.** Responsibilities: <ul> <li>Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis.</li> <li>Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.</li> <li>Implement data quality checks and governance best practices to ensure data accuracy and reliability.</li> <li>Utilize Python, Spark, and SQL queries to extract, transform, and analyze data from various sources.</li> <li>Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives.</li> <li>Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities.</li> </ul> <h2> Qualifications </h2> <ul> <li>Strong written and oral communication skills required</li> <li>Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred</li> <li>Master`s in same or related disciplines strongly preferred</li> <li> 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. </li> </ul> <h2> About Us </h2> As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: <a href="https://lmi.co/Benefits" target="_blank">https://LMI.co/Benefits</a> Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices <ul> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf" target="_blank">California</a></li> <li><a href="https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf" target="_blank">Los Angeles Incorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2025/01/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf" target="_blank">Los Angeles Unincorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/pa-philadelphia-fair-chance-law.pdf" target="_blank">Philadelphia</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-san-francisco-fair-chance.pdf" target="_blank">San Francisco</a></li> </ul> <h2>Options</h2> <a href="https://careers-libertymutual.icims.com/jobs/68773/senior-data-analytics-engineer%2c-usrm-modeling-data-solutions/job?mode=apply&amp;apply=yes&amp;hashed=-1834448064" target="_blank"> Apply NowApply </a><a href="https://careers-libertymutual.icims.com/jobs/68773/senior-data-analytics-engineer%2c-usrm-modeling-data-solutions/referral?hashed=-625979090" target="_blank"> Email this job to a friendRefer </a> Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. <h2> Need help finding the right job? </h2> We can recommend jobs specifically for you! <a href="https://careers-libertymutual.icims.com/connect?back=intro&amp;findajob=1&amp;hashed=-625979090" target="_blank"> Click here to get started. </a> <a href="https://icims.help/candidate-faq" target="_blank">System Troubleshooting</a>Software Powered by iCIMS <a href="http://www.icims.com/platform_help?utm_source=platform&amp;utm_medium=link&amp;utm_content=page1&amp;utm_campaign=platform%20help" target="_blank">www.icims.com</a>

Senior Data Analytics Engineer, USRM Modeling Data Solutions

<h1> Principal Data Analytics Engineer, USRM Modeling Data Solutions</h1> Job Locations US-Remote | US-OH-Columbus | US-WA-Seattle | US-MA-Boston <dl> <dt>ID</dt> <dd> 2025-68772 </dd> <dt>Position Type</dt> <dd> Full-Time </dd> <dt>Minimum Salary</dt> <dd> USD $92,000.00/Yr. </dd> <dt>Maximum Salary</dt> <dd> USD $197,000.00/Yr. </dd> <dt>Typical Starting Salary</dt> <dd> $108,000-$156,000 </dd> <dt>Flexible Time Off Annual Accrual - days</dt> <dd> 20 </dd> <dt>Application Deadline</dt> <dd> 3/7/25 </dd> </dl> <h2> Pay Philosophy </h2> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. <h2> Description </h2> If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data Solutions is seeking experienced data analytics engineers to join its small commercial and personal lines teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. **This is a ranged posting, level offered will be based on skills and experience at manager discretion.** **This role may have in-office requirements depending on candidate location.** Responsibilities <ul> <li>Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization’s analytical needs.</li> <li>Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders.</li> <li>Gather requirements through collaboration with data scientists, analysts, and business stakeholders to provide tailored analytics solutions.</li> <li>Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security.</li> <li>Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting.</li> <li>Utilize Python, Spark, and SQL queries to build robust data solutions and for profiling data.</li> <li>Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team’s capabilities.</li> <li>Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration.</li> </ul> <h2> Qualifications </h2> <ul> <li>Strong written and oral communication skills required.</li> <li>Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred</li> <li>Master`s in same or related disciplines strongly preferred.</li> <li>5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake.</li> <li>5-7+ years experience as developer with top quadrant Business Intelligence tools.</li> </ul> <h2> About Us </h2> As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: <a href="https://LMI.co/Benefits" target="_blank">https://LMI.co/Benefits</a> Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices <ul> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf" target="_blank">California</a></li> <li><a href="https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf" target="_blank">Los Angeles Incorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2025/01/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf" target="_blank">Los Angeles Unincorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/pa-philadelphia-fair-chance-law.pdf" target="_blank">Philadelphia</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-san-francisco-fair-chance.pdf" target="_blank">San Francisco</a></li> </ul> <h2>Options</h2> <a href="https://careers-libertymutual.icims.com/jobs/68772/principal-data-analytics-engineer%2c-usrm-modeling-data-solutions/job?mode=apply&amp;apply=yes&amp;hashed=-1834448064" target="_blank"> Apply NowApply </a><a href="https://careers-libertymutual.icims.com/jobs/68772/principal-data-analytics-engineer%2c-usrm-modeling-data-solutions/referral?hashed=-625979090" target="_blank"> Email this job to a friendRefer </a> Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. <h2> Need help finding the right job? </h2> We can recommend jobs specifically for you! <a href="https://careers-libertymutual.icims.com/connect?back=intro&amp;findajob=1&amp;hashed=-625979090" target="_blank"> Click here to get started. </a> <a href="https://icims.help/candidate-faq" target="_blank">System Troubleshooting</a>Software Powered by iCIMS <a href="http://www.icims.com/platform_help?utm_source=platform&amp;utm_medium=link&amp;utm_content=page1&amp;utm_campaign=platform%20help" target="_blank">www.icims.com</a>

Principal Data Analytics Engineer, USRM Modeling Data Solutions

<h2>About the team</h2>AI products at Zillow help millions of people find the best home for them with less stress and more visibility. Zillow scientists develop a variety of ML models (natural language understanding, computer vision, recommendation systems) that enables our customers to find and move to their next home. Join the team that develops end to end platform powering AI research and development at Zillow! As a member of the AI Platform team, you will help define Zillow’s approach to Artificial Intelligence research &amp; Products, powering products like home value estimation, economic research, personalized recommendations and semantic search etc. You will work on building powerful ML infrastructure enabling containerized services, performing distributed computations at scale, empowering continuous research &amp; deployments of ML models, evaluations and monitoring. Learn more about what we are doing at <a href="https://www.zillow.com/data-science" target="_blank">https://www.zillow.com/data-science</a> and <a href="https://www.zillow.com/engineering" target="_blank">https://www.zillow.com/engineering</a><h2>About the role</h2>We are looking for a Principal Software Development Engineer to help us build the next generation of AI infrastructure powering multiple Zillow products. The position gives you opportunities to:<ul> <li>Craft and build scalable infrastructure for orchestrating end to end machine learning lifecycle from experimentation phase to production jobs &amp; services</li> <li>Build the roadmap and lead the team towards success in building the next-gen AI infrastructure, which supports AI workload at 10x scale plus governance &amp; compliance requirements</li> <li>Work with a variety of technologies such as Kubernetes, KNative, Argo, Databricks, Kafka, Tensorflow etc.</li> <li>Collaborate with Applied Scientists, Machine Learning Engineers and cross functional teams in crafting and implementing your technical vision</li> <li>Work closely with our data infrastructure team to build the data systems and stores that power ML models</li> <li>Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions </li> </ul>This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC the standard base pay range for this role is $186,700.00 - $298,300.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.<h2>Who you are</h2>Basic Qualifications:<ul> <li>A degree (BS+) in Computer Science or a related field. Masters in Computer Science preferred</li> <li>5+ years of experience with Machine Learning, data and/or backend web services &amp; infrastructure</li> <li>2+ years of experience with platform solutions for large scale AI applications</li> <li>Experience working with cloud services (AWS/Azure/GCP)</li> <li>Excellent interpersonal skills and passionate about collaborating across organizational boundaries</li> </ul>Nice to haves:<ul> <li>Have vision and passion to make Machine Learning development easier for ML Practitioners </li> <li>Experience developing sophisticated software systems scaling to millions of users with production quality deployment, monitoring and reliability</li> <li>Experience with Databricks (for data and/or ML use cases)</li> <li>Experience with building low latency, high reliability Web Services (K8s, KNative services)</li> <li>Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost)</li> <li>Experience with modern data technologies (Spark, Hive, Kafka, Beam, Airflow)</li> </ul> Transferable Skills Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.<h2>Get to know us</h2>Zillow is reimagining real estate to make home a reality for more and more people.As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and <a href="https://www.zillow.com/careers/benefits/" target="_blank">world-class benefits</a>. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on <a href="https://www.glassdoor.com/Overview/Working-at-Zillow-EI_IE40802.11,17.htm" target="_blank">Glassdoor</a> and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME <a href="http://time.com/100companies" target="_blank">100 Most Influential Companies</a> list.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.

Zillow

Principal Software Development Engineer - AI Platform

<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets. Human Capital As-A-Service Today’s disruptive environment calls for a different mindset and a new approach to drive organizational performance and enhance human capital development now and in the future. Deloitte Human Capital as a Service brings that insight, through broad and deep capabilities to help our clients optimize people, process, and technology to thrive in an unpredictable world. Recruiting for this role ends on 12/31/2024. The AI Data Specialist in Deloitte’s Human Capital Consulting Asset Shop will lead the design, development, and deployment of innovative AI solutions to help clients leverage the power of artificial intelligence across their business processes. You will work closely with cross-functional teams including data scientists, engineers, and business consultants to design scalable AI architectures and integrate advanced machine learning models into business strategies. Your role is crucial in driving the adoption of AI technologies to transform client business models and deliver cutting-edge solutions. This role requires a deep understanding of Machine Learning, Statistics, Data Science, Generative AI, Large Language Models (LLMs), and Multimodal models. Additionally, the AI Data Specialist will help with recommendations for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Data Specialist will also help with translating project requirements into strategic solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions. Work you’ll do: Strategic Alignment and Vision <ul> <li>Help define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts.</li> <li>Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases</li> </ul> Architectural Design <ul><li>Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.</li></ul> Design and Technology Selection <ul> <li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li> <li>Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li> </ul> Research and Development <ul> <li>Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost.</li> <li>Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.</li> </ul> Collaboration and Stakeholder Engagement <ul> <li>Collaborate with Enterprise, Application, Data &amp; DevOps teams, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss best design.</li> <li>Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.</li> </ul> Consulting &amp; Advisory <ul><li>Serve as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.</li></ul> Operational Excellence and Continuous Improvement <ul> <li>Be responsible for the successful execution of AI-powered applications using agile methodology.</li> <li>Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.</li> <li>Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.</li> </ul> Risk Management and Ethical Considerations <ul> <li>Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.</li> <li>Address potential issues such as training data poisoning, AI model theft, and adversarial samples.</li> </ul> Product Strategy and Business Understanding <ul> <li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li> <li>Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.</li> </ul> Tool Development and Data Management <ul> <li>Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.</li> <li>Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.</li> </ul> Required Qualifications: <ul> <li>Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field.</li> <li>6+ years of related consulting experience leading a team (both onshore and offshore).</li> <li>6+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments.</li> <li>5+ years of experience working in an AI environment.</li> <li>5+ years of experience translating requirements into client ready design documents.</li> <li>5+ years of experience with application architecture analysis, design, and delivery</li> <li>5+ years of full system development life cycle implementations</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.</li> <li>Limited immigration sponsorship may be available.</li> </ul> Preferred Qualifications: <ul> <li>Advanced degrees such as Masters or PhD are preferred</li> <li>Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect</li> <li>5 + years of experience in Data Science, Statistics, and Machine Learning</li> <li>5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing</li> <li>5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment</li> <li>5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,375 to $265,625 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC25 #HCaaS25 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

8 Data Science Jobs in Washington