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<h1>Who we are</h1> <h2 id="about-stripe">About Stripe </h2> Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. <h2 id="about-the-teams-multiple-roles-available">About the teams (multiple roles available)</h2> Growth Data Science The Growth Data Science team helps businesses accelerate their journey to accept payments on Stripe, and find the financial products they need to grow their business. We achieve our goals through experimentation, forecasting, attribution modeling, personalization and algorithmic recommendations. We partner with Marketing, Sales and Self-Serve Product teams to develop intelligent data products and insights, and create go-to-market strategies to drive product discovery, adoption and retention. Developer Experience and Platform Product (DEeP) Data Science DEeP is a central infrastructure team that builds platforms that enable teams across Stripe to offer a better user experience. The DEeP Data Science team provides data, metrics and insights to improve key features of the Stripe user experience including the Stripe Dashboard, developer tools, API policies, Stripe Apps, and more. DEeP DS works closely with other functions to build scalable data solutions, inform strategy, provide observability, and run experiments. <h1>What you’ll do</h1> Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. <h2 id="responsibilities">Responsibilities</h2> <ul> <li>Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven. </li> <li>Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. </li> <li>Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe </li> <li>Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers. </li> <li>Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team </li> <li>Contribute to broad data science initiatives as a member of Stripe’s data science management team. </li> </ul> <h1>Who you are</h1> We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. <h2 id="minimum-requirements">Minimum requirements</h2> <ul> <li>You have at least 3 years of direct management experience leading data science and ML teams, and 10 years of overall data science experience. </li> <li>You have demonstrated expertise in designing metrics and guiding business decisions with data. </li> <li>You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions. </li> <li>You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems. </li> <li>You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs. </li> <li>You have clear and persuasive communication skills in writing and verbally. </li> <li>You thrive on a high level of autonomy and responsibility. </li> <li>You foster a healthy, inclusive, challenging, and supportive work environment. </li> </ul> <h2 id="preferred-qualifications">Preferred qualifications</h2> <ul> <li>A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering). </li> <li>You are comfortable working with geographically distributed teams </li> <li>Expertise in time series forecasting, predictive modeling, or optimization </li> <li>Expertise in data design and building scalable data architectures </li> </ul> This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $207,800 - $311,600. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations Chicago, Toronto, New York, or Seattle Remote locations Remote in United States Team Data &amp; Data Science Job type Full time <a href="#">Apply for this role </a>

Stripe

Data Science Manager

<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

Primary Purpose of job: This position is responsible for programming, testing, implementing, supporting, and maintaining data pipelines, data stores (e.g., Data Warehouse, Mart, Hub, etc.), and business intelligence models. This position relies on instructions and pre-established guidelines to perform the functions of the job. Major Functions: Development (50%) <ul> <li> Write, modify, extend and debug data pipelines based on QuikTrip’s Software Development Lifecycle (SDLC) process. Specific duties will include: <ul> <li>Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to determine if data is suitable for needs.</li> <li>Development of automated data pipelines to extract, cleanse, and transform data for intended business use.</li> <li>Development of automated processes to consolidate diverse sources of similar data in to a single source of truth for QuikTrip (e.g. store, product, employee, etc.).</li> <li>Development of automated data quality monitoring and alert processes</li> <li>Model and publish data sets for users to access through reporting and business intelligence technologies.</li> <li>Possesses and apply working knowledge of multiple languages and tools utilized by QuikTrip during development process. Common tools and languages: ETL, T-SQL, Data Profiling and MDM tools, BI Modeling Tools (e.g. SSAS, Power BI), and Programming Languages (e.g. C#).</li> </ul> </li> <li>Adhere to QuikTrip’s standards and best practices.</li> <li>Have extensive knowledge of development tools and environments utilized by QuikTrip.</li> <li> May act as a Product Technical Owner of a software product on occasion: <ul> <li>Accountable for the technological performance of the product:</li> <li>Software</li> <li>Hardware</li> <li>Virtual Ware</li> <li>Tech Teams – Development, Data, Infrastructure, Contractors, and Professional Services</li> </ul> </li> </ul> <ul> <li>Responsible for adherence to strategic plan while remaining focused on the teams handling the product.</li> <li>Responsible for the technical requirements.</li> <li>Responsible for Technical User Story acceptance.</li> <li>Manages the technical debt of the product.</li> <li>Manages conflicts of interest within the development team.</li> <li>Coordinates coding efforts across one or more development teams.</li> <li>Holds Development, Technical, Professional Services, Data, and other IT teams accountable within the framework of the product.</li> <li>Accepts input and guidance from our Architecture, Infrastructure and Development teams and acts as the one voice back to Professional Services on technology related items when decisions need to be made.</li> <li>Leads trouble-shooting efforts by getting the right expertise involved and calling “war rooms” together when necessary.</li> <li>Acts as Scrum Master when the development team and PTO agree this is appropriate</li> </ul> Technical Support (35%) <ul> <li>Resolve technical issues utilizing excellent customer service skills, problem solving skills, and technical thinking/reasoning skills following established support process and metrics guidelines.</li> <li>Measure and analyze incoming issues to determine root cause and develop technical and training solutions to minimize reoccurrences and severity; report results to management.</li> <li>Accurately document all customer issues, resolution steps, and gather feedback in support tracking software to enhance identifying and reporting trends leading to recurring technical problems.</li> <li>Develop and publish support documentation for internal users for troubleshooting, training and other areas as needed.</li> <li>Gather and forward customer feedback and suggestions for product improvement.</li> <li>Position requires 24x7 support.</li> </ul> Training (10%) <ul> <li>Seek input from team members and supervisors on areas to improve skill set.</li> <li>Actively applies feedback received into day-to-day work and strives to improve performance</li> <li>Actively train with senior level developers to improve development skills and system knowledge.</li> <li>Actively utilize training outlets as necessary to improve development skills. This could take the form of multiple items, including but not limited to self-study, in-house classes, seminars or online training.</li> <li>Maintain professional and technical knowledge by attending ongoing training workshops, reviewing professional publications, reviewing industry best practices/procedures and reviewing new technologies to determine fit within the organization.</li> <li>Assist in development of junior data engineers on skills or system knowledge through mentoring, knowledge transfer, code review, and shadowing.</li> </ul> Administration and Communication (5%) <ul> <li>Listen to others and accept input from team members.</li> <li>Clearly articulate ideas and thoughts both in verbal and written formats.</li> <li>Accurately prepares written business correspondence that is coherent, grammatically correct, effective and professional.</li> <li>Timely communicate status updates with the project manager or lead, the project team, and/or key customers and supervisor regarding specific assignments and overall scheduling/coordination needs.</li> <li> Accurately record project and trouble call work assignment updates within timeframes determined by departmental standards or individual supervisors. <ul> <li>Record time tracking.</li> <li>Identify individual task progress.</li> <li>Identify task completion.</li> </ul> </li> </ul> Position in Organization: Reports to: Data Engineering Manager Relationships: Inside the Company: Information Technology staff and primary users of systems from other departments. Outside the Company: N/A Position Specifications: The required specifications (education, experience, and skills) are those that the employee must have to hold the position. Applicants applying for this position must possess the required specifications in order to be considered for the job. The desired specifications are those that are not required for the employee to hold the position, but the employee should try to obtain the desired education, experience, and/or skills to be effective and successful in the position. Required education: High school graduate or equivalent. College or technical school courses in one or more programming languages or data tools used at QuikTrip. Desired education: College degree in Computer Science, MIS, Mathematics, or related discipline. Required experience: 3-5 years’ experience in programming data solutions. Familiar with all aspects of systems analysis, design, and installation procedures in a business environment. Desired experience: 5+ years professional experience including developing data solutions in a business environment, installing and troubleshooting hardware and software problems. Required skills: Proficient in one or more of QuikTrip’s data technologies or languages. Good problem-solving skills. Familiar with a variety of IT concepts, practices and procedures. Good written and verbal communication skills and time management skills. Desired skills: Proficiency in all programming languages and data tools in use at QuikTrip. Additional criteria: This position requires good communications skills to assist customers with problems. Ability to work in a fast-paced team environment. Works under direct supervision. Intermittent or extended travel may be required based on project or support requirements and may encompass Holidays and non-standard working hours. Starting Salary: $106,500-$133,100

QuikTrip

Data Engineer II

<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>Job Description</h2> Sr. Data Solutions Engineer As a Senior Data Engineer, you will be responsible for designing, developing, and managing data infrastructure that supports the collection, storage, and analysis of large datasets. Your work involves building and maintaining data pipelines, optimizing database performance, and implementing scalable solutions for data integration. You will partner with experts to translate requirements into technical solutions. You will design and implement advanced Azure Data Factory and support large language modules. As needed, you will supervise other Data Engineers. Compensation &amp; Benefits: Estimated Starting Salary Range for Sr. Data Solutions Engineer: $107,000 - $171,000 plus annual bonus. Position can be located in Tulsa, OK preferred with relocation provided, McLean, VA, or San Antonio, TX. Pay commensurate with experience. Full time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice. Sr. Data Solutions Engineer Responsibilities Include: <ul> <li>Architect and implement scalable and efficient machine learning systems.</li> <li>Design, develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into our data warehouse or data lake.</li> <li>Design, develop and maintain data models and schemas ensuring efficient data storage and retrieval while optimizing performance and scalability.</li> <li>Design, develop and implement data validation and cleansing processes to ensure high data quality and accuracy, and address data discrepancies and issues.</li> <li>Integrate data from different source systems, including database and Application Programming Interfaces.</li> <li>Design and deploy AI/ML pipelines.</li> <li>Utilize Azure Data Factory to extract, transfer, and load data.</li> <li>Design, implement, and optimize machine learning algorithms and models.</li> <li>Design and implement CI/CD pipelines to ensure quality data across the organization.</li> <li>Develop strategies for deploying machine learning models at scale. Ensure models are production ready with high reliability and performance.</li> <li>Create and maintain documentation for data pipelines, data models, and processes.</li> <li>Collaborate with business partners and other IT teams to understand data requirements and ensure data solutions meet business needs.</li> <li>Troubleshoot incidents, identify root cause, fix and document the issue.</li> <li>Ensures database security standards and best practices are monitored and enforced; supports auditing needs.</li> <li>Performs other job-related duties as assigned.</li> </ul> Sr. Data Solutions Engineer Experience, Education, Skills, Abilities requested: <ul> <li>Bachelor's degree in computer science, information technology or other related field</li> <li>8+ years of solution design and architecture experience or an equivalent combination of education and experience.</li> <li>Advanced Knowledge of Microsoft Office applications and integrations.</li> <li>Advanced Knowledge of MS SQL Server, team foundation server (TFS), and/or PowerShell.</li> <li>Advanced Knowledge of data management tools (backups, archiving, monitoring), document management systems, practice management systems, and/or business process systems.</li> <li>Advanced Knowledge of data standards, global data design patterns, database deployment, and performance management, tuning, installation, and configuration.</li> <li>Advanced Knowledge of database systems/database security, SQL queries, stored procedures, SSRS.</li> <li>Advanced Knowledge of continuous integration and continuous delivery environment.</li> <li>Intermediate Knowledge of Infrastructure as Code (IaC)</li> <li>Basic understanding of Generative AI and knowledge of AI language models.</li> <li>Strong analytical and problem-solving abilities.</li> <li>Excellent communication and collaboration skills.</li> <li>Experienced use of BI, SQL, and other design and analysis tools</li> <li>Demonstrated ability to partner directly with end-users / business experts to gather requirements and translate into solutions</li> <li>Ability to manage multiple priorities and work in a fast-paced environment.</li> <li>Ability to proactively identify problems while taking ownership of solutions or escalating to leadership.</li> <li>Ability to resolve assigned tasks.</li> <li>Ability to learn and adapt.</li> <li>Must pass pre-employment qualifications of Cherokee Federal</li> </ul> Company Information: Cherokee Nation Businesses Corp - CFED (CNB) is a part of Cherokee Federal – the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government’s mission with compassion and heart. To learn more about CNB, visit cherokee-federal.com. #CherokeeFederal #LI #LI-WD1 Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply. Similar Job Titles: <ol> <li>Senior Data Architect</li> <li>Lead Data Engineer</li> <li>Principal Data Solutions Engineer</li> <li>Senior AI/ML Engineer</li> <li>Data Infrastructure Architect</li> </ol> Keywords: <ol> <li>Data pipelines</li> <li>Machine learning algorithms</li> <li>Scalable data systems</li> <li>AI/ML pipelines</li> <li>Data integration optimization</li> </ol> Legal Disclaimer: Cherokee Federal is an equal opportunity employer. Please visit cherokee-federal.com/careers for information regarding our Affirmative Action and Equal Opportunity Employer Statement, and Accommodation request. Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal. <h2>Job Info</h2> <ul> <li> Job Identification 27991 </li> <li> Job Category Information Technology Services </li> <li> Posting Date 03/06/2025, 11:16 AM </li> <li> Job Schedule Full time </li> <li> Locations Tulsa - CFED HQ (OK) (Hybrid) </li> <li> Regular or Temporary Regular </li> </ul>

Cherokee Nation Businesses

Senior Data Solutions Engineer

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet’s Built Environment applied machine learning team delivers advanced geospatial products primarily for external customers, with a focus on advanced analytics such as change detection, object detection, and emerging generative AI capabilities. While the team applies a range of ML techniques—often leveraging computer vision for remote sensing—this position emphasizes the engineering and MLOps side of our operations: designing and refining workflows to make model deployment, registration, and versioning easy, testable, and scalable. You’ll drive the creation of robust CI/CD pipelines and MLOps workflows that enable quick rollout of new models and iterative improvements to existing ones. By integrating these solutions into our distributed compute platform and ensuring proper monitoring, you’ll help deliver high-impact, production-ready systems. This role will appeal to candidates who have a passion for continuous improvement, automation, and guiding the full product lifecycle—from ideas to well-monitored production systems. This is a full-time, remote position based in the United States. Impact You'll Own: <ul> <li>Building and managing MLOps workflows (monitoring, retraining, benchmarking, and deploying production models and data services)</li> <li>Integrating ML models—including those from external partners—into our compute platform and container orchestration environment, ensuring robust operations and support</li> <li>Maintaining DevOps tooling (infrastructure as code, CI/CD pipelines, container orchestration)</li> <li>Ensuring reliability, scalability, and security of geospatial ML products used by both internal stakeholders and external customers</li> <li>Collaborating with adjacent ML and software engineering teams to ensure seamless integration of ML pre-processing and inference steps, defining best practices for efficient deployment and maintenance of geospatial models</li> </ul> What You Bring: <ul> <li>10+ years of software engineering experience of which 5+ years is experience developing production-scale systems (including containerized applications, robust data pipelines, or other ML focused architectures)</li> <li>Background in DevOps/MLOps and experience with containerization (Docker), orchestration (Kubernetes), and CI/CD automation</li> <li>Fluency in Python within a Linux environment</li> <li>Collaboration skills to partner with data scientists and pipeline teams, ensuring ML models are operationalized effectively from concept to production deployment</li> <li>Working knowledge of distributed or parallel processing</li> <li>Excellent communication skills, capable of explaining technical topics to diverse audiences</li> <li>Master’s degree in a STEM or analytics-focused field or equivalent work experience</li> </ul> What Makes You Stand Out: <ul> <li>Experience building geospatial or sensor-driven data products from scratch</li> <li>Practical knowledge of remote sensing, satellite imagery, or related geospatial domains</li> <li>Familiarity in geospatial libraries (e.g., GDAL, rasterio, shapely, geopandas) for remote sensing or geospatial data</li> <li>Knowledge of coordinate reference systems, geometry manipulations, and common data formats (GeoTIFF, GeoJSON, etc).</li> <li>Expertise in containerized workload orchestration (Docker, Kubernetes) at scale, leveraging massive parallel processing across thousands of concurrent workloads.</li> <li>In-depth familiarity with workflow orchestration platforms (e.g. Temporal) for real-time data pipelines, enabling high-throughput ingest and low-latency inference</li> <li>Proficiency in model optimization techniques, ensuring minimal latency and efficient resource utilization in production environments</li> </ul> <h6>#LI-REMOTE</h6> Application Deadline: May 21, 2025 by 11:59pm PST Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. <ul> <li>Comprehensive Medical, Dental, and Vision plans</li> <li>Health Savings Account (HSA) with a company contribution</li> <li>Generous Paid Time Off in addition to holidays and company-wide days off </li> <li>16 Weeks of Paid Parental Leave</li> <li>Remote-friendly work environment </li> <li>Wellness Program and Employee Assistance Program (EAP)</li> <li>Home Office Reimbursement</li> <li>Monthly Phone and Internet Reimbursement</li> <li>Tuition Reimbursement and access to LinkedIn Learning</li> <li>Equity</li> <li>Commuter Benefits (if local to an office)</li> <li>Volunteering Paid Time Off</li> </ul> Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range $172,200—$215,200 USD San Francisco Salary Range $182,900—$228,600 USD US National Salary Range $160,600—$200,800 USD Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to <a href="mailto:accommodations@planet.com" target="_blank">accommodations@planet.com</a> or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Planet

Senior Software Engineer, ML Infrastructure

<h1>Reporting - Senior Health Data Analyst 135-2031</h1> Tulsa, OK, USA Req #575 Saturday, March 1, 2025 JOB SUMMARY: The Senior Health Data Analyst provides the analytical support for Executives and all departments including analysis, pricing, capitation, network, and provider specific reporting. Analytical support includes programming customer-based specifications, producing appropriate statistics, reports, and presentations, analyzing results and impacts, and generating written reports with recommendations and conclusions. The Senior Analyst works with data in company and other databases, data cleaning, descriptive statistical analysis, data modeling, developing and maintaining data documentation, and comparing results to industry standards. The Senior Analyst is also responsible for managing high complexity projects requiring team effort of several other analysts and involvement from other departments. In addition, responsibility of quality review and mentoring are expected. The quality review and mentoring process includes code and logic review, benchmarking, and direction and insight of the reporting processes, statistics of healthcare, and managing projects requiring limited level of independent decision making and coordinating resources. KEY RESPONSIBILITIES: <ul> <li>Manage projects, including create and lead a team of analysts, interact with other departments and outside parties. </li> <li>Concurrently conduct multiple major analytical projects without immediate supervision, including all aspects from programming to analyzing and abstracting information into written reports. </li> <li>Perform review and quality assurance of the projects assigned to other analysts.</li> <li>Develop reports and ad-hoc analysis based on specifications outlined by department management. Automate such reports and ensure that they are performed and delivered on schedule. </li> <li>Create presentations of data analysis including conclusions and recommendations and present findings to key stakeholders.</li> <li>Serve as a resource and mentor to other analysts and assist in training and development as needed.</li> <li>Perform other duties as assigned.</li> </ul> QUALIFICATIONS: <ul> <li>Ability see major analysis projects through to completion without immediate supervision.</li> <li>Ability to independently manage projects, including creating and leading a team of analysts, interaction with other departments and outside stakeholders.</li> <li>Ability to apply advanced actuarial, mathematical and statistical techniques and principles into the analysis of financial and health related data.</li> <li>Possess strong oral and written communication skills with the ability to communicate results in a consistent and professional manner.</li> <li>Proven ability to perform descriptive analytics.</li> <li>Demonstrated knowledge of programming, running and modifying pre-written and new code required.</li> <li>Demonstrated knowledge of healthcare data.</li> <li>Ability to converse and write fluently in English.</li> <li>Successful completion of Health Care Sanctions background check.</li> <li>Proficient in Microsoft Office applications.</li> </ul> EDUCATION/EXPERIENCE: <ul> <li>Bachelor’s degree required. Mathematics, Statistics, Economics, Actuarial Science or other quantitative discipline preferred. Master’s degree a plus.</li> <li>Demonstrated use of analytical software. SAS or SQL preferred.</li> <li>Experience in Power BI, Tableau or similar software preferred.</li> <li>5 plus years of Health Data or Data Analysis experience.</li> <li>Project management experience preferred. </li> </ul> CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin <h2 id="otherDetailsHeader">Other details</h2> <ul> <li> Job Family Commercial </li> <li> Pay Type Salary </li> </ul> <a href="#"> Apply Now </a>

CommunityCare

Reporting - Senior Health Data Analyst 135-2031

<h2>Summary</h2> At Yelp, it’s our mission to connect people with great local businesses. From a coffee connoisseur’s review of a neighborhood cafe, to a homeowner’s request for a quote to remodel their kitchen, Yelp’s data captures millions of user-business interactions every day. Within Yelp’s Business Operations &amp; Strategy organization, the Product Analytics team prides itself on harnessing the power of this data. We test and learn, build tools and lead meaningful analyses to extract insights that influence Yelp’s product and business strategy. Our contributions deliver incremental and sustainable growth in user contribution, traffic, and revenue. We’re looking for a self-motivated critical thinker whose intellectual curiosity is met with a skeptical eye and sound business judgment. You value the integrity of your work, take pride in telling stories with data, and want to have a stake in business decisions. You are a team player who is an excellent communicator and quick learner. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes. This is a full-time remote role based in the United States. <h2>What you'll do:</h2> <ul> <li>Embed with a cross-functional team trying to improve a specific part of Yelp’s product and become a subject matter expert in that area. You’ll provide the analytical backing for tactical decisions and broad-reaching strategy.</li> <li>Lead analytics projects core to Yelp’s business, communicate key insights to decision makers, and help product leaders uncover new opportunities. In short, excel at connecting business context to statistically sound analysis.</li> <li>Manage tight deadlines and quickly iterate on analyses to answer business questions, deliver actionable learnings, and make strategic recommendations.</li> <li>Design, execute, and analyze business and user experiments to improve Yelp’s products. Think critically about experimental design and advocate for thoughtful experimentation.</li> <li>Collaborate with Product, Engineering, and Design to define and track Yelp’s key product metrics, opportunity size new initiatives, and improve Yelp’s current product ecosystem.</li> <li>Generate dashboards and automate reports that empower teams across the organization to make data-driven decisions.</li> <li>Grow and maintain impactful relationships with stakeholders of both technical and non-technical backgrounds with clear and frequent communication.</li> </ul> <h2>What it takes to succeed:</h2> <ul> <li>BA/BS or graduate degree, ideally in a quantitative field (mathematics, statistics, economics etc.)</li> <li>2-4 years of relevant industry experience (ideally within a consumer product or ads space)</li> <li>Strong SQL skills and proficient in Python to manipulate large data sets.</li> <li>An eye for compelling data visualization. Experience with related tools (Tableau, Mode, Looker, etc.) is a plus.</li> <li>Understanding of statistical inference, experimental design and analytic bias. Professional experience in A/B testing is a plus.</li> <li>Comfortable using Excel / GSheets for data analysis and compiling results.</li> <li>Strong communication skills used to translate between complex data analysis and coherent, compelling insights and recommendations.</li> <li>Strong interpersonal skills and ability to work effectively with people from a wide range of technical abilities and levels of leadership.</li> </ul> <h2>What you'll get:</h2> <ul> <li>Effective your first day: Full medical, vision, and dental </li> <li>15 days PTO (accrual begins on date of hire and increases with 2+ years of tenure thereafter), 12 paid holidays, plus one floating holiday</li> <li>Up to 14 weeks of parental leave</li> <li>Monthly wellness subsidy</li> <li>Work from home reimbursement</li> <li>Flexible spending account</li> <li>401(k) retirement savings plan</li> <li>Employee stock purchase plan</li> <li>Compensation range for this position is $105,000 - $130,000 annually. You may also be offered a bonus and benefits.</li> </ul> <h2>Closing</h2> At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.” We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience. We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California). We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at <a href="mailto:accommodations-recruiting@yelp.com" target="_blank">accommodations-recruiting@yelp.com</a> or 415-969-8488.<a href="http://voice.google.com/calls?a=nc,%2B14159698488" target="_blank"></a> Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes. <a href="https://docs.google.com/document/d/e/2PACX-1vSiQ5ajIdwoMv07VjFKWB71xJJU-yzWOgQkZLRngmFFhquutnmdihX5_E9lY0Qq6m7VSTNQfeO_tMKK/pub" target="_blank">US Recruiting and Applicant Privacy Notice</a> #LI-Remote

Yelp

Senior Analyst, Product Analytics (Remote - US)

<h3>At TDW we put people first - that means working everyday to ensure the pipelines that run through our communities are operating safely and reliably. What sets us apart is our expertise, experience and commitment.</h3>Each day we dedicate ourselves to treating each other, our customers and our community with care and respect.<h2>Overview</h2>A certified electromagnetic transducer (EMAT) in-line inspection (ILI) analyst. Responsible for analyzing pipeline EMAT ILI tool data with TDW's proprietary software to accurately detect, identify, and size anomalies in pipelines and report on the current conditions of customer pipeline systems.<h2>Key Responsibilities</h2>Primary duties may include, but are not limited to:<ul> <li>Visual analysis of pipeline integrity threats such as linear indications through proprietary EMAT data analysis software.</li> <li>Attend scheduled meetings and training to ensure adherence to current TDW initiatives and processes.</li> <li>Maintain and acquire the necessary skills to obtain and maintain industry-required analysis certifications.</li> <li>Create reports to produce a comprehensive overview of pipeline integrity.</li> <li>Work under and meet strict deadlines.</li> <li>Coordinate with the software development team in bug identification and software enhancements.</li> <li>Effectively work and communicate in a team environment.</li> <li>Basic understanding of pipeline design, operation, and integrity practices.</li> </ul>Experience<ul> <li>REQUIRED: Current or recent certification as an EMAT ILI Data Analyst Level I, II, or III according to the ANSI/ASNT ILI-PQ-2023 standard. (A minimum of one year of EMAT analysis experience).</li> <li>High School Diploma required. Bachelor’s degree preferred.</li> </ul>Knowledge, Skills, and Abilities<ul> <li>Understanding of EMAT physics and sensor response.</li> <li>Demonstrated ability to be detail-oriented and analytical.</li> <li>Ability to perform analysis of visual-based data.</li> <li>Proficient computer skills and intermediate knowledge of Microsoft Excel.</li> <li>Good basic mathematics and science skills.</li> <li>Proficient written and verbal communication skills in English.</li> <li>Ability to learn new internal software programs.</li> </ul>

T.D. Williamson

EMAT ILI Data Analyst

CompanyCox Communications, Inc.Job Family GroupEngineering / Product DevelopmentJob ProfileLead Product ManagerManagement LevelManager - Non People Leader Flexible Work Option Hybrid - Ability to work remotely part of the weekTravel %Yes, 5% of the timeWork ShiftDayCompensationCompensation includes a base salary of $108,800.00 - $181,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job Description ** Overview: ** We are seeking an experienced AI Product and Value Realization Manager to support planning, implementation and measurement of AI solutions. The successful candidate will have a strong background in AI/ML, business operations, and data analysis, as well as excellent communication and collaboration skills. ** Scope: ** As an AI Product and Value Realization Manager, this role will be responsible for ensuring that AI and ML solutions deliver tangible business value to the organization. The scope of this role includes: <ul><li>Collaborating with cross-functional teams to identify opportunities to drive business value through AI and ML solutions </li></ul> <ul><li>Developing and implementing strategies to measure and track the value of AI and ML solutions, including key performance indicators (KPIs) and metrics </li></ul> <ul><li>Conducting cost-benefit analyses and ROI calculations to inform funding decisions and ensure that AI and ML solutions are delivering expected business value </li></ul> <ul><li>Working with stakeholders to develop and prioritize use cases for AI and ML solutions, and ensuring that these solutions are aligned with business goals and objectives </li></ul> <ul><li>Developing and maintaining a comprehensive understanding of the organization's AI and ML landscape, including existing solutions, emerging trends, and potential areas for growth </li></ul> <ul><li>Identifying and mitigating risks associated with AI and ML solutions that may impact value delivered </li></ul> This Manager will be expected to stay up-to-date on emerging trends and best practices in AI and ML technologies, and to apply this knowledge to drive business value for the organization. Due to the dynamic nature of this space with rapidly evolving technologies and strategies, they may at times flex to adjacent responsibilities including platform SME, product owner, prompt engineer, or more. ** Key Responsibilities: ** <ul><li>Plan, implement and measure AI solutions that drive business value using AI and ML technologies </li></ul> <ul><li>Identify potential costs and benefits associated with AI and ML implementations </li></ul> <ul><li>Develop business cases for AI solutions, including cost, value and ROI </li></ul> <ul><li>Develop and track key performance indicators (KPIs) to measure business value and solution effectiveness </li></ul> <ul><li>Conduct data analysis to measure AI solution performance and value realization </li></ul> <ul><li>Identify opportunities to improve AI and ML implementation, optimizing value delivered </li></ul> <ul><li>Manage AI project budgets and resources, ensuring timely and within-budget delivery </li></ul> ** Qualifications: ** <ul><li>Bachelor’s degree in a related discipline and 6 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 4 years’ experience; a Ph.D. and 1 year of experience; or 18 years’ experience in a related field.</li></ul> <ul><li>Experience with AI and ML concepts, technologies, and applications </li></ul> <ul><li>Experience with Agile development methodology</li></ul> <ul><li>Data analysis skills, including data visualization, statistical modeling, and data mining </li></ul> <ul><li>Financial analysis skills, including ROI calculation, cost-benefit analysis, and total cost of ownership (TCO) </li></ul> <ul><li>Experience in supporting organizations through strategic change </li></ul> ** Competencies: ** <ul><li>Data-driven with ability to use data to make and measure decisions </li></ul> <ul><li>Strong organizational and planning skills </li></ul> <ul><li>Strategic thinking and focus on the future </li></ul> <ul><li>Flexible approach and flow-to-work mindset </li></ul> <ul><li>Problem-solving and decision-making </li></ul> <ul><li>Collaborative mindset with strong interpersonal and communications skills </li></ul> BenefitsThe Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. About Us Cox Communications is all about creating moments of real human connection; and for employees, that’s true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we’re creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.

48 Data Science Jobs in Tulsa, OK, USA