data analytics chief scientist

Colorado Rockies

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 Job Details
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 <strong>
  Description
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 Lead Data Scientist, Business Strategy &amp; Analytics
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  About Us
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 The Colorado Rockies Baseball Club is embracing the climb, committed to building a championship-caliber organization on the field, in the clubhouse, and throughout our business operations. Playing at altitude presents unique competitive challenges and opportunities, and we embrace innovation, collaboration, and evidence-based practices to support elite performance. Rooted in the traditions of America&rsquo;s pastime, we operate with integrity, service, quality, and trust while striving to create an exceptional experience for our players, staff, and fans.
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 The Strategy &amp; Business Analytics team partners closely with leadership and functional departments to translate data into insight, insight into decisions, and decisions into measurable impact.
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  Position Summary
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 The Lead Data Scientist will play a foundational role in shaping and executing the Colorado Rockies&rsquo; business-focused advanced analytics and data science capability. This individual will be responsible for contributing to the organization&rsquo;s data strategy, identifying and prioritizing high-impact data science opportunities, and independently executing advanced analytical work&mdash;including predictive, prescriptive, and machine learning models.
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 Reporting to the Chief Revenue &amp; Strategy Officer, the Lead Data Scientist will serve as a thought partner to leaders across the business, helping tackle complex challenges where traditional reporting is insufficient. While this role will initially have no direct reports, it is expected to play a critical role in shaping the organization&rsquo;s analytics capabilities. As the analytics needs of the business evolve, opportunities for increased scope and responsibility may emerge based on organizational needs and individual performance
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 This role is best suited for a senior individual contributor who thrives on building robust, production-ready models that drive measurable business impact rather than purely exploratory analysis. It requires a combination of deep technical expertise, strong business acumen, and clear communication skills. The Lead Data Scientist must be comfortable working hands-on across the full analytics spectrum&mdash;from advanced modeling and experimentation to select foundational analysis where needed to accelerate capability development. Their input will help define the long-term vision, structure, and standards for business analytics at the Rockies.
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  Essential Duties &amp; Responsibilities
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 Advanced Analytics Execution
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   Design, develop, and deploy advanced analytical solutions &mdash; including predictive and prescriptive models &mdash; to address high-priority business questions across ticketing, marketing, pricing, fan engagement, partnerships, and operations.
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   Apply statistical modeling, machine learning, optimization, experimentation, and forecasting techniques to improve decision quality and quantify risk, uncertainty, and upside.
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   Translate complex analytical outputs into decision-ready insights and clear recommendations for senior leadership and non-technical stakeholders; document model assumptions and limitations to ensure appropriate application
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   Own projects end-to-end, from problem framing and data exploration through modeling, validation, and deployment of tools &amp; insights into the business
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   Establish monitoring metrics and standards to ensure models remain relevant as data and conditions evolve.
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 Operationalization &amp; Model Deployment
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   Develop production-ready data science solutions, including APIs, scoring pipelines, and system integrations, to embed predictive and prescriptive models directly into business workflows.
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   Partner with IT, 601Analytics, and application owners to integrate models into CRM, pricing systems, marketing platforms, and other operational tools.
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   Establish version control, testing, validation, and monitoring frameworks to ensure models perform reliably in production environments.
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 Business Partnership &amp; Project Prioritization
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   Partner with the Chief Revenue &amp; Strategy Officer and functional leaders to identify, scope, and prioritize data science initiatives aligned with organizational strategic priorities.
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   Build credibility and trust with stakeholders by balancing analytical rigor with pragmatic business judgment.
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   Work closely with Strategy and functional teammates to design and analyze experiments, test hypotheses, evaluate solution tradeoffs, and inform high-impact decisions.
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   Collaborate with reporting and analytics partners across the organization to ensure alignment between advanced models, core metrics, dashboards, and decision
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 Foundational Analytics &amp; Capability Building (Initial Phase)
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   Maintain primary focus on advanced modeling, experimentation, and high-impact decision support while contributing selectively to foundational analysis during early capability development.
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   Help establish best practices for documentation, reproducibility, data quality, and analytical rigor across projects.
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   Partner to coach and develop analytics capabilities of existing teammates and to build functional leaders&rsquo; comfort leveraging data and analytics to lead their teams.
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 Data Strategy &amp; Analytics Vision
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   Contribute to the development of a long-term vision for business analytics at the Rockies, spanning advanced data science and scalable reporting and insight delivery capabilities.
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   Partner closely with 601Analytics and internal data engineering resources to leverage a modern, scalable data warehouse environment, ensuring advanced models are built on reliable, well-governed data assets.
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   Partner with IT and data engineering/architecture teams to ensure data science solutions are scalable, sustainable, and aligned with enterprise data strategy.
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   Establish and adhere to documentation and file management standards to ensure tools and analyses can be efficiently maintained and evolved over time.
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   Stay current with emerging techniques and data sources in data science, machine learning, and artificial intelligence, identifying opportunities to apply these tools aggressively yet responsibly&mdash;with appropriate governance, transparency, and risk management&mdash;to drive meaningful business impact.
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 Communication &amp; Leadership
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   Clearly communicate analytical findings through written, visual, and verbal formats tailored to technical and non-technical audiences.
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   Exceptional problem-solving and critical-thinking skills, with the ability to connect analytical work to real business outcomes.
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   Strong business acumen and curiosity about how organizations operate, generate revenue, and serve customers.
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   Excellent communication skills, including the ability to explain complex concepts clearly and concisely to non-technical audiences.
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   Proven ability to collaborate cross-functionally, manage competing priorities, and operate effectively in a fast-paced, evolving environment.
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   Comfort working in ambiguity and helping design processes, standards, and structures where none previously existed.
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  Job Qualifications
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   Bachelor&rsquo;s degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Business Analytics, or a related quantitative field required.
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   Master&rsquo;s degree or PhD preferred.
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   7+ years of progressive experience in data science, advanced analytics, or a related analytical role within a business, sports, media, or consumer-facing environment.
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   Experience with sports and entertainment, specifically with ticketing and pricing, is strongly preferred.
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   Demonstrated experience independently leading complex, ambiguous analytical projects from concept through impact.
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   Demonstrated experience influencing leaders through data-driven insights.
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   Demonstrated knowledge of best practices around requirements gathering, analysis design, and storytelling through data visualization.
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   Formal people management experience is not required, but experience coaching / developing the analytics skills of others is highly valued.
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 Technical Skills
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   Strong proficiency in Python and/or R for data analysis, modeling, and automation.
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   Deep understanding of statistical methods, machine learning algorithms, forecasting, experimentation, and optimization techniques.
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   Experience working with SQL and Snowflake / Databricks (or similar tools) to operate in cloud-based data science environments like MS Azure; comfort manipulating large, complex datasets.
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   Experience building and deploying machine learning models into production environments (e.g., REST APIs, batch scoring systems, containerized services, or similar deployment patterns).
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   Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) and an understanding of how advanced models integrate into dashboards and decision workflows.
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   Experience applying generative AI, LLMs, or agent-based systems to automate analysis, enhance insight generation, or augment business workflows in a responsible and production-ready manner.
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 WORKING CONDITIONS / WORK SCHEDULE
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   Work Environment: Full-time in office role.
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   Work Hours: Full-time hours (typically Monday-Friday 8-5) with occasional extended hours during peak business periods or critical project milestones.
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   Travel: Minimal, though occasional travel related to league meetings, vendors, or organizational events may be required.
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  Physical Job Requirements
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   This role operates in a professional office and stadium environment. Occasional exposure to crowd noise, outdoor weather conditions, and extended hours during homestands, promotional events, or special functions may be required.
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   Must be able to remain in a stationary position for extended periods (e.g., sitting at a desk, attending meetings).
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   Occasionally moves about the office, stadium, and event spaces to access equipment, vendors, and staff.
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   Frequently communicates via phone, video conference, and in person; must be able to exchange accurate information.
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   Ability to lift up to 15 pounds occasionally (e.g., promotional materials, laptop bag).
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  Compensation &amp; Benefits
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   Annual Salary Range: $125,000 - $145,000. This is a regular-status, full-time, Non-Exempt position.
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   As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, job-related skills, and any other factors the Colorado Rockies consider relevant to the hiring decision for this position.
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   In addition to the base salary, the Club believes in providing a very competitive and generous compensation and benefits package for its employees. Benefits include but are not limited to Medical, Dental, Vision, 401(k) with employer match, generous vacation and holiday program, employee parking, employer-provided game tickets to home games, onsite fitness classes and experiences, employee discounts on merchandise, and so much more! All benefits are subject to eligibility requirements and the terms of official plan documents, which may be modified or amended at any given time.
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  Application Process
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   Applications will be reviewed on a rolling basis but must be received by March 25th.
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   The estimated time to complete the recruitment process will be by May 22nd.
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   Please note this is just an estimate, and the recruiting process may be extended to removed at any time.
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   For current Colorado Rockies employees:
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    Apply via the internal job board in UKG by following these prompts: MENU &gt; MYSELF &gt; VIEW OPPORTUNITIES &gt; select the position &gt; CONSENT &gt; APPLY NOW.
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    If you are unable to access UKG, please list your most recent Manager as an Employee Reference on your application.
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  Equal Opportunity Employer
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 Rockies baseball is for everyone! We pride ourselves on hiring, developing, and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants and employees will receive consideration for employment or promotion without regard to race (including, but not limited to, traits historically associated with race, such as hair texture and length and/or protective hairstyles), color, national origin, gender identity, gender expression, sexual orientation, familial status, marital status, ancestry age (40+), creed, religion, disability, veteran status, pregnancy/childbirth and related conditions, or any other category or activity protected by law. In addition, we will endeavor to provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities in compliance with the ADA. All employment and promotion decisions will be decided on the basis of qualifications, merit, and business needs.
</div>


Lead Data Scientist, Business Strategy & Analytics

Data Scientist, Analytics (Technical Leadership)

Starbucks

<p></p><div><p><b>Now Brewing &ndash; Lead Data Scientist! #tobeapartner</b></p><p>
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.</p><p>
As a <b>Lead Data Scientist</b> on the Global Supply Chain Data Science team, you will lead the development of advanced forecasting models and optimization algorithms that shape supply chain and inventory decisions. Your work will directly impact coffeehouses, transportation, distribution centers, and suppliers at scale.</p><p></p><p><i><br>
As a </i><i>lead data scientist</i><i>, you will&hellip;</i></p><ul><li> Own the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to production deployment, ensuring robust offline evaluation and real-time performance monitoring.</li><li> Work closely with product and internal users. You will understand business initiatives, challenges, questions, and transform user requirements into technical solutions.</li><li> Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.</li></ul><p></p><p><b><br>
Mentor and Develop Talent</b></p><ul><li> Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.</li><li> Foster a culture of innovation and continuous improvement within the data science organization.</li></ul><br>
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</p><p><i>We&rsquo;d love to hear from people with:</i></p><p></p><ul><li><br>
 <b>Education</b>: Bachelors Degree with a concentration in a quantitative discipline. Masters preferred</li><li> <b>5+ years of progressive experience in data science</b>, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li> <b>5+ years of experience in machine learning and statistical techniques,</b> including regression, classification, clustering, and causal inference.</li><li> <b>Advanced proficiency in Python, SQL, and cloud-based analytics platforms </b>(e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.</li><li> <b>Excellent communication and data storytelling skills,</b> with the ability to translate complex methodologies into clear, actionable insights. Translate business challenges into research questions, and present findings to technical and non-technical audiences</li><li> <b>Experience building in-house </b><b>production systems</b> in complex and data-rich domains.</li><li> <b>Mentoring experience</b></li></ul><p></p><p><b><i><br>
Preferred Skills:</i></b></p><ul><li> Experience in <b>building forecasting models</b> for time series or operational planning</li><li> Experience in <b>optimization techniques</b> such as linear programming, mixed-integer programming, or heuristic algorithms for decision support</li><li> Background with <b>PySpark and Databricks</b> for distributed data processing and scalable analytics in cloud environments</li><li> <b>Advanced degree (MSc or PhD)</b> in Statistics, Operations Research, Applied Mathematics, or related quantitative field.</li></ul><p></p><p><br>
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.</p><ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul><p></p><p><br>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.</p><p></p><p><br>
We believe we do our best work when we're together, which is why we're onsite four days a week.</p><p><b>
Join us and inspire with every cup. Apply today!</b></p><p><i>
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.</i></p><p><i>
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.</i><br>
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<i>Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at </i><i>applicantaccommodation@starbucks.com</i><i> or 1(888) 611-2258.</i></p></div>

lead data scientist - Data & Analytics (Seattle, WA)

Huntington Bank

<div><h1 class="jobSectionHeader"><b>Description</b></h1><div><b>
Summary:
</b></div><div><div><div><div><p>The Lead Data Scientist contributes to building and developing the organization&rsquo;s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.</p><p></p><p><b>
Duties and Responsibilities:
</b></p><ul><li>Performs advanced analytics methods to extract value from business data.</li><li>
Performs large-scale experimentation and build data-driven models to answer business questions.</li><li>
Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.</li><li>
Determines requirements that will be used to train and evolve deep learning models and algorithms.</li><li>
Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.</li><li>
Influences product teams through presentation of data-based recommendations.</li><li>
Evangelizes best practices to analytics and products teams.</li><li>
Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.</li><li>
Performs other duties as assigned.</li></ul><p></p><p><b>
Basic Qualifications:
</b></p><ul><li>Master&rsquo;s degree in computer science, statistics, economics or related field</li><li>
5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, including experience with big data analysis tools and techniques, and building and deploying predictive models, web scraping, and scalable data pipelines.</li></ul><p></p><p><b>
Preferred Qualifications:
</b></p></div></div></div></div><ul><li>PhD in computer science, statistics, economics or related fields</li><li>
Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling</li><li>
Strong experience with R, RSTudio, Python, SAS, SQL, NoSL</li><li>
Up-to-date knowledge of machine learning and data analytics tools and techniques</li><li>
Strong knowledge in predictive modeling methodology</li><li>
Experienced at leveraging both structured and unstructured data sources</li><li>
Willingness and ability to learn new technologies on the job</li><li>
Demonstrated ability to communicate complex results to technical and non-technical audiences</li><li>
Strategic, intellectually curious thinker with focus on outcomes</li><li>
Professional image with the ability to form relationships across functions</li><li>
Ability to train more junior analysts regarding day-to-day activities, as necessary</li><li>
Proven ability to lead cross-functional teams</li><li>
Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)</li><li>
Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)</li><li>
Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)</li><li>
Financial Services background</li></ul><p></p><h3 class="jobSectionHeader"><b>
#LI-NG1</b></h3><h3 class="jobSectionHeader"><b>
#LI-Onsite<br>
</b></h3><p><br>
<b>Exempt Status: (Yes</b> = not eligible for overtime pay) (<b>No</b> = eligible for overtime pay)</p>
Yes<p></p><p><b>
Workplace Type:</b></p>
Office<p></p><p>
Our Approach to <b>Office </b>Workplace Type</p><p></p><p>
Certain positions outside our branch network may be eligible for a flexible work arrangement. We&rsquo;re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.</p><p></p><p>
Huntington is an Equal Opportunity Employer.</p><p></p><p>
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.</p><p></p><p><b>
Note to Agency Recruiters: </b>Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.</p></div>

GenAI Lead Data Scientist

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2>
As a Principal, Data Scientist, you will lead the development of world‑class marketing analytics that inform and optimize Walmart US Marketing investments. You will operate as a senior individual contributor and thought leader, influencing strategy through advanced analytics and close partnership with Marketing, Merchandising, Finance, and Technology teams.<br>
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This is a highly visible role with broad impact across the organization, focused on shaping how marketing channels and business levers work together to drive customer engagement, incremental sales, and long‑term growth.<p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><ul><li>
Leading the design and development of advanced marketing measurement and optimization models aligned to short‑ and long‑term business objectives</li><li>
Integrating marketing performance insights into a broader understanding of customer engagement and lifetime value</li><li>
Serving as a trusted analytics partner to senior stakeholders, balancing business strategy with analytical rigor</li><li>
Providing thought leadership on advanced analytics opportunities that drive incremental performance and measurable business value</li><li>
Partnering with Data Enablement and Technology teams to define analytics data pipelines, tools, and reporting solutions</li><li>
Collaborating with Marketing, Finance, Tech, and Planning teams to forecast marketing&rsquo;s incremental contribution to sales and traffic</li><li>
Developing tools and training that enable marketers to adopt an analytical mindset in day‑to‑day decision‑making</li><li>
Communicating complex technical concepts clearly and building compelling narratives that influence executive decision‑making</li></ul>
We&rsquo;ll be excited if you bring:
<ul><li>A strong track record of solving complex, large‑scale data science problems and delivering impactful analytics solutions</li><li>
A customer‑first mindset with experience working across multiple business functions</li><li>
Hands‑on experience transforming and automating data within cloud‑based architectures (e.g., Google Cloud Platform)</li><li>
Proven ability to communicate complex quantitative insights to senior leaders and non‑technical audiences</li><li>
Experience partnering effectively with data scientists, data engineers, and cross‑functional stakeholders</li><li>
Curiosity, adaptability, and comfort operating in fast‑paced, ambiguous environments</li><li>
Passion for agile ways of working and continuous improvement</li></ul><h3 class="jobSectionHeader"><b>
Minimum Qualifications</b></h3><ul><li>
Bachelor&rsquo;s degree in Business, Marketing, Mathematics, Statistics, or a related field (or equivalent experience)</li><li>
7+ years of experience in data analysis or analytics‑driven roles</li><li>
3+ years of experience in Retail, Digital, or eCommerce Analytics</li><li>
2+ years of experience influencing cross‑functional partners across Product, Finance, Operations, or Engineering</li><li>
Strong ownership mindset with excellent communication and organizational skills</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
PhD in Economics, Statistics, Computer Science, Operations Research, or a related field</li><li>
9+ years of experience in data science, machine learning, or optimization modeling</li><li>
Advanced proficiency in Python, Spark, Scala, or R</li><li>
Extensive experience with open‑source ML frameworks (e.g., Scikit‑Learn, TensorFlow, PyTorch)</li><li>
Experience developing and deploying scalable marketing measurement solutions, including marketing mix modeling and multi‑touch attribution</li><li>
Deep knowledge of supervised and unsupervised modeling techniques, causal inference, and experimentation methodologies</li><li>
Experience leveraging cloud‑based big data technologies and modern data visualization tools</li><li>
Strong understanding of digital marketing channels and advertising technology ecosystems</li><li>
Consulting experience and demonstrated thought leadership with senior business partners</li></ul>
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
<br>
For information about benefits and eligibility, see One.Walmart.
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San Bruno, California US-08848: The annual salary range for this position is $143,000.00 - $286,000.00
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Bentonville, Arkansas US-30008: The annual salary range for this position is $110,000.00 - $220,000.00
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Hoboken, New Jersey US-10279: The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
<br>
<ul><li>Stock</li></ul><p>
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&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Principal, Data Scientist

Peraton

<div><div><h5 class="jobSectionHeader"><b>ABOUT PERATON</b></h5><p>
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p></div><div><h5 class="jobSectionHeader"><b>
ABOUT THE ROLE</b></h5><div><div>
Peraton seeks a <b>Principal Data Scientist</b> to support Department of Defense Cyber Defense Command (DCDC) with DCO AI Cyber Security. Location: Fort Meade, MD. In this role, you will serve as technical lead for the Data Science Team, providing strategic direction for all advanced analytics, AI/ML, and predictive modeling initiatives supporting DCDC enterprise mission requirements.</div><div></div><div><br>
Primary Responsibilities</div><ul><li>
Lead team of 6 data scientists, ML engineers, and operations research analysts</li><li>
Design and oversee AI/ML model development including NLP and network analysis</li><li>
Direct campaigns of learning and experimentation for analytic performance evaluation</li><li>
Develop predictive, prescriptive, and descriptive models for DCO-IDM operations</li><li>
Ensure analytics alignment with ASOM and Analytic Crosswalk framework</li><li>
Present analytic findings and recommendations to senior leadership</li></ul></div></div><div><h5 class="jobSectionHeader"><b>
QUALIFICATIONS</b></h5><div><div>
Required Qualifications:</div><ul><li>
Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.</li><li>
Expert proficiency in Python, R, and ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>
Deep experience with NLP, network analysis, and time-series forecasting</li><li>
Strong background in statistical modeling and experimental design</li><li>
Experience with big data platforms (Hadoop, Spark)</li><li>
5+ years leading technical teams in DoD/IC environment</li><li>
U.S Citizenship required</li><li>
DoD TS with ability to obtain/maintain SCI clearance</li></ul><div>
 Preferred Qualifications:</div><ul><li>
AWS/Azure ML certifications are preferred</li><li>
CISSP certification is preferred</li><li>
Master's degree is required; PhD is preferred in Data Science, Statistics, Computer Science, or related field</li><li>
12 years of relevant experience</li></ul></div></div><div><h5 class="jobSectionHeader"><b>
DETAILS</b></h5><div><p>
<b>Target Salary Range:</b> $146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
</p></div><div><p><b>Benefits Statement:</b> Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
</p></div><div><p>
<b>Application Duration Statement:</b> The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
</p></div><p><b>
EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

PRINCIPAL DATA SCIENTIST

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2><p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><b>
Role summary:</b><br>
As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models Leveraging sophisticated techniques such as Double Machine Learning and Causal Modeling, you will generate robust, data-driven insights that inform strategic decision-making and drive measurable impact. You will collaborate across functions to translate business needs into innovative strategies, mentor team members, and ensure the quality and impact of data insights. Your work will directly influence decision-making and operational efficiency, supporting Walmart&rsquo;s commitment to excellence and continuous improvement through cutting-edge data science practices.<br>
 <b>About the team:</b><br>
The Sandman/Ad-tech team consists of experienced Machine Learning Engineers, Data Scientists, and Full Stack technologists focused on delivering scalable, data-driven solutions for Walmart. This multidisciplinary group integrates expertise in AI, software engineering, and data science to develop autonomous AI agents, deploy reliable applications, and build core engineering capabilities at enterprise scale. Utilizing data, AI, and agile methods, the team drives innovation that enhances operational efficiency and supports Walmart&rsquo;s mission. Collaboration within the team fosters the creation of intelligent systems that improve business performance across the organization.<br>
 <b>What you'll do:</b> Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL to address complex business challenges. Analyze business problems to identify root causes and recommend data-driven approaches aligned with strategic objectives. Identify, source, and validate high-quality data from multiple systems to support analytical modeling and insights generation. Lead the design and implementation of machine learning models, including feature engineering, model tuning, and validation to ensure accuracy and robustness. Collaborate with stakeholders to translate business requirements into actionable data strategies and visualization frameworks. Mentor team members on advanced analytical techniques and promote continuous learning and innovation. <b>What you'll bring:</b> Extensive experience in machine learning algorithms, deep learning, and statistical analysis to develop advanced data models. Proficiency in programming languages including Python, SQL, and Java for code development and testing. Advanced capability in feature engineering, predictive scoring model development, causal modeling, forecasting, and scenario modeling to support prioritization, and Sales life-stage execution plans. Ability to translate complex business requirements into actionable data science strategies aligned with organizational goals. Experience deploying scalable models and maintaining model lifecycle management in production environments. Proven leadership skills to mentor teams and drive continuous improvement in data science practices.
<br>
<br>
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
<br>
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
<br>
For information about benefits and eligibility, see One.Walmart.
<br>
Hoboken, New Jersey US-10649: The annual salary range for this position is $132,000.00 - $264,000.00
<br>
Sunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
<br>
<ul><li>Stock</li></ul><p>
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&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
121 River St, Hoboken, NJ 07030-5989, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

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