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<h2>This is Data Science at Lattice</h2> As a Senior Data Scientist on our Data Science team, you will be responsible for working on a wide range of data-related projects, from metric design and reporting, to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Customer Experience and Operations teams, using data from across the entire Lattice spectrum to produce insights and recommendations that will influence our customer strategy. <h2>What You Will Do</h2> <ul> <li>You will own product-adoption-related metrics and business intelligence output for the CX organization</li> <li>You will assist the CX organization with complex requests from customers as they seek to better understand their end-users’ interactions with the Lattice platform</li> <li>You will collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes</li> <li>You will increase stakeholder use of data and data fluency through partnership and upskilling </li> <li>You will model first- and third-party data into analytics-ready tables that can be used across the business</li> <li>You will dive deep into the CX org, becoming an expert on the problems they encounter and creating scalable solutions in response </li> <li>You will own and collaborate on your own quarterly roadmap</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>You have 3+ years of experience working in Data Science or Analytics, partnered with CX or Operations teams</li> <li>You have experience at a B2B SaaS company</li> <li>You have the ability to distill ambiguous, open-ended questions into workable problems </li> <li>You have a track record of collaboration with stakeholders </li> <li>You have expertise in facets of data science including but not limited to metric design, artificial intelligence, experimentation, and data analysis </li> <li>You have a history of successfully completing projects on time and within scope </li> <li>You have proven results designing metrics for team impact</li> <li>You are a self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions </li> <li>You have a deep knowledge of SQL</li> <li>You have knowledge of Python</li> <li>You have experience with a BI tool such as Looker</li> </ul> The estimated annual cash salary for this role is $148,000 - $185,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

Lattice

Senior Data Scientist

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our <a href="https://www.pinterestcareers.com/our-life/pinflex/" target="_blank">PinFlex</a> landing page to learn more. The Responsible AI team is part ofthe Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics. At Pinterest our goal is to inspire Pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 500M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience. Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable <a href="https://newsroom.pinterest.com/en/post/pinterest-expands-the-skin-tone-range-feature-to-more-countries" target="_blank">skin tone</a>, <a href="https://newsroom.pinterest.com/en-gb/post/pinterest-introduces-first-of-its-kind-hair-pattern-search-for-inclusive-beauty-results" target="_blank">hair pattern</a> search refinements, and more recently, <a href="https://newsroom.pinterest.com/news/pinterests-new-body-type-ranges-deliver-better-more-inclusive-search-results/" target="_blank">body type</a>. We are looking for a Tech Lead Engineer to steer pivotal engineering initiatives in the Responsible AI space, collaborating with senior leaders to refine and set our technical direction. You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest. What you'll do: <ul> <li>Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI. </li> <li>Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.</li> <li>Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.</li> <li>Work with the team and senior leaders at the company to define and drive technical strategy in this area.</li> </ul> What we're looking for: <ul> <li>Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.</li> <li>Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems.</li> <li>Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.</li> <li>5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products</li> <li>2+ years experience leading cross-team engineering efforts.</li> <li>Masters or PhD in Comp Sci or related fields</li> <li> Desired skills: <ul> <li>Demonstrated track record in shaping and executing large-scale technical roadmaps, balancing immediate needs with long-term vision, defining clear OKRs, and orchestrating cross-functional efforts to deliver production-grade solutions that significantly enhance user experiences.</li> <li>Deep expertise in designing and scaling backend and ML systems for high-traffic, user-facing products, with a full-stack understanding of system architecture, data pipelines, and model deployment workflows.</li> <li>Proven success in collaborating with engineering teams to deploy ML capabilities that improve fairness and reduce bias in recommendation, content understanding, and ranking systems at scale.</li> </ul> </li> </ul> Relocation Statement: <ul> <li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/" target="_blank">PinFlex</a> page to learn more about our working model.</li> </ul> In-Office Requirement Statement: <ul> <li>We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.</li> </ul> #LI-SA1 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>. US based applicants only $208,145—$364,254 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6" target="_blank">this form</a> for support.

Pinterest

Staff Machine Learning Engineer - Responsible AI

<h3> Position Summary </h3> 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 Recruiting for this position will end on 6/30/25 Work you’ll do As a People Analytics Visier 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 analytics process, 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 in Human Resources, Business Analytics, IT or relevant field</li> <li>2+ years of experience in Human Capital Consulting and/or closely related experience in a consultative people analytics role.</li> <li>2+ 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>2+ 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 25-50%, 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 <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: Costa Mesa, Denver, Fresno, Jersey City, Las Vegas, Los Angeles, Morristown, New York, Pleasanton, Princeton, Rochester, Sacramento, San Diego, San Francisco, San Jose, Seattle 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 $97,875 to $163,125. 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

People Analytics Visier Consultant

<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.

People Analytics Visier 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. 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.

5 Data Science Jobs in San Francisco County, San Francisco, CA, USA