data science manager

The Home Depot

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this strategic initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management</li><li>
20% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
9+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Experience managing and growing team members in a professional setting</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
8</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Manager - GenBI

ZS Associates

<div>:

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you&rsquo;ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. 
<div></div>
 : Advanced Data Science Manager
Salary: $215000 to $255000 per year

Location: Evanston, IL and various, unanticipated locations throughout the United States.

Benefits: Comp package offers min/max salary + COLA, leave policies, bonus incentives, relo, med/den/life ins, retirement benefits.

Job Role and Responsibilities: Directly oversee, manage, and provide technical and quantitative guidance to junior team members, including degreed Associates, Associate Consultants and Consultants in the United States using knowledge of an advanced level of skill in data science, business analytics, quantitative methodologies, algorithms and data structures, modeling, and statistical analysis (15%). Direct all aspects of data science-oriented project acquisition and project management using business analytics and/or scientific software and operating systems while applying mathematical and deductive reasoning (15%). Liaise with Project Leadership to define the project scope and budget and develop data analytics strategies using Big Data, advanced analytics, and algorithms, including text mining, social listening, recommended systems or predictive modeling (15%). Manage client relationships to drive new business development and ensure long-term strategic partnerships (10%). Manage both internal and external team communications, including directing internal team status meetings and communicating any changes in deadlines, scope, and timing with client project managers (10%). Provide data analytics innovation within projects and practice areas, advising internal groups and leading initiatives on business operations excellence (10%). Develop data science capabilities and offerings that create scale and advance ZS's analytic platform using Java, Python, R, or related programming language as well as Agile project planning and project management (15%). Supervise business and strategy development activities from a data science/statistics perspective and cultivate and expand client relationships (5%). Direct recruiting, training, coaching, mentoring, HR-related policies (leave, Performance Improvement Plans, etc.) for subordinates and provide developmental opportunities for team members (5%). May work in various, unanticipated locations throughout the United States. Position may require up to 25% domestic travel.
Contact: Apply online or contact ZS at careers@zs.com referencing the Req ID above. Position eligible for Employee Referral Program (with incentives). Multiple openings.

Qualifications: Master's degree, or foreign degree equivalent, in Applied Mathematics, Engineering, Business Analytics or a related field and four (4) years of data analysis experience. Alternatively, employer will accept a Bachelor's degree in Applied Mathematics, Engineering, Business Analytics, or a related field and six (6) years of data analysis experience.
With either requirement, position requires experience with: 1.Agile project planning and project management; 2.Java, Python, R, or related programming language; 3.Big Data, advanced analytics, and algorithms, including text mining, social listening, recommender systems or predictive modeling; 4.Hadoop ecosystem or related database system; and 5.Team management. :

How you&rsquo;ll grow:<ul><li>
Cross-functional skills development &amp; custom learning pathways</li><li>
Milestone training programs aligned to career progression opportunities</li><li>
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions</li></ul> 
Perks &amp; Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you&rsquo;ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS. 
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. 
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. 
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems&mdash;the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. 
If you&rsquo;re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. 
 
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. 
 
To complete your application: 
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. 
 
NO AGENCY CALLS, PLEASE. 
 
Find Out More At: 
www.zs.com</div>

Advanced Data Science Manager - RC26 (Evanston, IL)

<div>Position Purpose:
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul> 
Preferred Qualifications:<ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
10</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Senior Manager - Generative BI

Goodyear

<div>The Analytics Manager leads the design and delivery of scalable data models, insights, and analytical solutions that support business decision-making across manufacturing and commercial functions. This role partners closely with business stakeholders, analytics, and engineering teams to translate complex needs into actionable insights, dashboards, and tools embedded in day-to-day workflows. The Analytics Manager drives adoption of data-driven solutions, ensures high standards for data quality and governance, and helps guide priorities by identifying opportunities where analytics can generate measurable business impact.
Why This Role Matters
<ul><li>Drives business impact through analytics by designing scalable data models and translating complex data into actionable insights that inform strategy, forecasting, pricing, demand, and performance decisions.
</li><li>Serves as a critical bridge between business and analytics teams, ensuring business needs are clearly defined, prioritized, and converted into effective, high-value analytical solutions.
</li><li>Enables data-driven decision-making at scale by embedding insights, KPIs, and dashboards into workflows, increasing adoption and influencing day-to-day and strategic decisions.
</li><li>Strengthens analytics maturity and trust by upholding data quality, governance, and best practices, while mentoring analysts and continuously improving analytics processes and capabilities.
</li></ul>What You Will Do
<ul><li>Lead the design, enhancement, and maintenance of scalable, business-aligned data models to support reporting, forecasting, and decision-making.
</li><li>Act as the primary liaison between business stakeholders and analytics/engineering teams, translating needs into well-defined, high-impact analytical solutions.
</li><li>Analyze complex datasets to identify trends, risks, and opportunities, linking insights directly to measurable business outcomes.
</li><li>Translate analytical outputs into actionable insights, dashboards, KPIs, and tools that are embedded into business workflows and drive adoption.
</li><li>Ensure strong data governance, accuracy, and quality by reinforcing analytics standards, validation processes, and best practices.
</li><li>Support capability building within the analytics function by mentoring analysts, sharing best practices, and driving continuous process and tool improvements.
</li></ul>What We&rsquo;re Looking For
<ul><li>Bachelors in analytics, data science, statistics, engineering, mathematics, or related field preferred.
 </li><li>7+ years&rsquo; experience in data analytics or related field; In lieu of degree, 12+ years&rsquo; experience in data analytics or related field.
</li><li>Demonstrated experience in data modeling and analytical frameworks, with the ability to translate complex business processes into scalable, analytics-driven solutions.
</li><li>Strong business and operational acumen, connecting enterprise strategy to analytics outcomes and manufacturing or operational performance.
</li><li>Hands-on proficiency with analytics and visualization tools, including SQL, Python, Tableau, and Power BI, to analyze complex datasets and communicate insights effectively.
</li><li>Proven ability to engage stakeholders, solve complex problems, and deliver high-quality analytics through strong governance, data standards, and best practices.
</li></ul>Goodyear is one of the world's largest tire companies. It employs about 68,000 people and manufactures its products in 51 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to Goodyear.com . 
 
If you need reasonable accommodation to complete the online application, or any other part of the employment process, please contact the Goodyear Candidate Care Line at 330.796.4500. 
 
Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.</div>

Analytics Manager

Walmart

<div><h2 class="jobSectionHeader">Position Summary...</h2>
As a Senior Manager, Data Science &ndash; Supply Chain Strategy, you will help advance Walmart&rsquo;s eCommerce fulfillment strategy through high-impact supply chain initiatives focused on transportation, network design, customer speed, and fulfillment cost. You will be expected to leverage AI as a practical enabler to improve speed, quality, and decision-making across analysis, synthesis, and communication.
 
 
This role is best suited for someone who combines strong supply chain depth with hands-on analytical and modeling capability, and who can connect technical work to practical business decisions. You will go deep on established strategic priorities, build scalable analytical frameworks and modeling approaches, and bring together analytical work, operational inputs, and cross-functional expertise into a coherent long-term fulfillment and transportation strategy.<h2 class="jobSectionHeader">
What you'll do...</h2><div><div>
What You&rsquo;ll Do
</div><div><ul><li>Build scalable analytical frameworks and modeling approaches to support long-term fulfillment and transportation strategy.
</li></ul></div><div><ul><li>Independently extract, manipulate, validate, and analyze data using SQL as part of regular work.
</li></ul></div><div><ul><li>Build models using Python or similar analytical tools to evaluate fulfillment, transportation, and network design opportunities.
</li></ul></div><div><ul><li>Apply optimization and network modeling to solve complex supply chain problems tied to speed, cost, and network efficiency.
</li></ul></div><div><ul><li>Leverage AI to improve speed, quality, and decision-making across analysis, synthesis, and communication.
</li></ul></div><div><ul><li>Go deep on established strategic priorities and translate analytical insights into practical recommendations that can scale.
</li></ul></div><div><ul><li>Integrate analytical work, operational inputs, and cross-functional expertise into a coherent eCommerce fulfillment strategy.
</li></ul></div><div><ul><li>Drive cross-functional alignment and execution across Transportation, Supply Chain Operations, Marketplace/eCommerce, Technology, and Finance.
</li></ul></div><div><ul><li>Support capital planning, investment decisions, and business case development tied to strategic supply chain initiatives.
</li></ul></div><div><ul><li>Communicate analyses and recommendations clearly to cross-functional stakeholders and leadership partners.
</li></ul></div><div>What You&rsquo;ll Bring
</div><div><ul><li>Strong supply chain experience required.
</li></ul></div><div><ul><li>Experience applying data science, analytics, modeling, optimization, or network design to solve complex business problems.
</li></ul></div><div><ul><li>Experience in fulfillment, transportation, parcel, or network design environments at scale is strongly preferred.
</li></ul></div></div><div><div><ul><li>Strong SQL skills, with the ability to independently extract, manipulate, and validate data.
</li></ul></div><div><ul><li>Experience building models using Python or similar analytical tools.
</li></ul></div><div><ul><li>Experience with optimization and network modeling.
</li></ul></div><div><ul><li>Track record of building and driving strategic initiatives end to end.
</li></ul></div><div><ul><li>Ability to connect analytical outputs to operational reality and work effectively with strong operator stakeholders.
</li></ul></div><div><ul><li>Ability to drive cross-functional alignment and execution through influence, without direct ownership of all resources.
</li></ul></div><div><ul><li>Strong communication skills and the ability to summarize complex work clearly and practically.
</li></ul></div><div><ul><li>AI fluency and curiosity, with a practical mindset toward leveraging AI to improve speed, quality, and decision-making.
</li></ul></div><div><ul><li>Bachelor&rsquo;s degree required; Master&rsquo;s or PhD preferred.
</li></ul></div></div>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.
 
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.
 
For information about benefits and eligibility, see One.Walmart.
 
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
 
<ul><li>Stock</li></ul>
ㅤ
ㅤ
ㅤ
ㅤ
&lrm;<h2 class="jobSectionHeader">
Minimum Qualifications...</h2>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
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.<h2 class="jobSectionHeader">
Preferred Qualifications...</h2>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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.<h2 class="jobSectionHeader">
Primary Location...</h2>
805 Respect, Bentonville, AR 72716, United States of America
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) Senior Manager, Data Science - Supply Chain Strategy

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI) and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist - GenBI

Flex Employee Services

Role 1: AI &amp; Data Project Manager (AI Comms and Assist)Job Summary:The AI &amp; Data Project Manager (Contractor) is responsible for leading and coordinating enterprise AI, data, and advanced analytics initiatives across the health system. This role manages the delivery of strategic data and artificial intelligence projects including analytics platforms, machine learning implementations, data governance initiatives, and enterprise dataproducts.The position partners closely with clinical, operational, financial, and technology leaders to ensure AI and data initiatives are delivered on schedule, within scope, and aligned with organizational strategy and governance standards.The AI &amp; Data Project Manager oversees the full project lifecycle from planning through implementation, ensuring strong stakeholder engagement, risk mitigation, and adoption of enterprise data capabilities.Duties and Responsibilities:<ul><li>Leads planning and execution of AI, data, and analytics initiatives including data platforms, AI model deployment, and enterprise analytics solutions.</li><li>Coordinates the full lifecycle of AI and data projects from initiation through closure using the Project Management Framework.</li><li>Defines project scope, deliverables, success criteria, timelines, and budgets.</li><li>Manages cross‑functional teams including data engineers, data scientists, analysts, and operational leaders.</li><li>Tracks project milestones and ensures delivery of AI and analytics capabilities on schedule.</li><li>Identifies risks and develops mitigation strategies related to data quality, integration, governance, and adoption.</li><li>Coordinates integration across enterprise systems including Epic, Oracle, Strata, Power BI, and other platforms.</li><li>Supports enterprise data governance initiatives including stewardship and data quality programs.</li><li>Oversees delivery of AI and analytics product releases including dashboards and predictive models.</li><li>Collaborates with stakeholders to gather requirements supporting clinical, operational, financial, and strategic analytics initiatives.</li><li>Maintains project documentation including charters, roadmaps, plans, and post‑implementation reviews.</li><li>Tracks portfolio metrics for AI and data initiatives.</li><li>Supports organizational change management to drive adoption of AI and analytics capabilities.</li><li>Performs other duties as assigned.</li></ul>Education:Minimum Education Level: Bachelor&rsquo;s DegreeArea of Study: Information Systems, Data Science, Healthcare Administration, Business Administration, Computer Science, or related field.Alternate Qualifications: Bachelor&rsquo;s degree; or Associate degree and 2 years relevant professional experience in addition to the minimum experience requirement; or HS Diploma/GED and 4 years relevant professional experience in addition to the minimum experience requirement.Years of ExperienceMinimum Years of Experience: 8 years of relevant professional experiencePreferred Experience:<ul><li>Managing complex IT, data, analytics, or AI initiatives</li><li>Healthcare data and analytics environments</li><li>Enterprise analytics platforms such as Power BI or Tableau</li><li>Cross-functional enterprise project leadership</li></ul>Certification Preferred Certifications:<ul><li>PMP (Project Management Professional)</li><li>Agile or Scrum Certification</li><li>Certified Analytics Professional (CAP)</li><li>AI or Data Management related certifications</li></ul>LicensureNone required.Knowledge, Skills, and Abilities:<ul><li>Strong project management skills managing complex technology and data initiative</li><li>Understanding of enterprise data architecture, analytics platforms, and AI solutions</li><li>Ability to coordinate cross-functional teams across technical and clinical domains</li><li>Knowledge of data governance and data quality practices</li><li>Strong stakeholder management and communication skills</li><li>Ability to translate business needs into actionable project plans</li><li>Strong analytical and problem-solving capabilities</li><li>Familiarity with healthcare performance analytics preferred</li></ul>Physical Demands:<ul><li>Sitting: Frequent (34&ndash;66% of day)</li><li>Standing: Occasional (0&ndash;33% of day)</li><li>Walking: Occasional (0&ndash;33% of day)</li><li>Keyboard/Repetitive motion: Frequent (34&ndash;66% of day)</li><li>Lifting: Under 10 lbs. occasionally</li></ul>Occupational Exposure Risk:<ul><li>Blood Borne Pathogens: Not Anticipated</li><li>Chemical Exposure: Not Anticipated</li><li>Airborne Communicable Diseases: Not Anticipated</li><li>Radiation: Not Anticipated</li><li>Extreme Noise Levels: Not Anticipated</li></ul>Role 2: AI &amp; Data Project Manager (Data Governance) Job Summary:The AI &amp; Data Project Manager (Contractor) is responsible for leading and coordinating enterprise AI, data, and advanced analytics initiatives across the health system. This role manages the delivery of strategic data and artificial intelligence projects including analytics platforms, machine learning implementations, data governance initiatives, and enterprise data products. The position partners closely with clinical, operational, financial, and technology leaders to ensure AI and data initiatives are delivered on schedule, within scope, and aligned with organizational strategy and governance standards. The AI &amp; Data Project Manager oversees the full project lifecycle from planning through implementation, ensuring strong stakeholder engagement, risk mitigation, and adoption of enterprise data capabilities.Duties and Responsibilities:<ul><li>Leads planning and execution of AI, data, and analytics initiatives including data platforms, AI model deployment, and enterprise analytics solutions.</li><li>Coordinates the full lifecycle of AI and data projects from initiation through closure using the Project Management Framework.</li><li>Defines project scope, deliverables, success criteria, timelines, and budgets.</li><li>Manages cross-functional teams including data engineers, data scientists, analysts, and operational leaders.</li><li>Tracks project milestones and ensures delivery of AI and analytics capabilities on schedule.</li><li>Identifies risks and develops mitigation strategies related to data quality, integration, governance, and adoption.</li><li>Coordinates integration across enterprise systems including Epic, Oracle, Strata, Power BI, and other platforms.</li><li>Supports enterprise data governance initiatives including stewardship and data quality programs.</li><li>Oversees delivery of AI and analytics product releases including dashboards and predictive models.</li><li>Collaborates with stakeholders to gather requirements supporting clinical, operational, financial, and strategic analytics initiatives.</li><li>Maintains project documentation including charters, roadmaps, plans, and post-implementation reviews.</li><li>Tracks portfolio metrics for AI and data initiatives. Supports organizational change management to drive adoption of AI and analytics capabilities.</li><li>Performs other duties as assigned.</li></ul>Education:Minimum Education Level: Bachelor&rsquo;s DegreeArea of Study: Information Systems, Data Science, Healthcare Administration, Business Administration, Computer Science, or related field.Alternate Qualifications: Bachelor&rsquo;s degree; or Associate degree and 2 years relevant professional experience in addition to the minimum experience requirement; or HS Diploma/GED and 4 years relevant professional experience in addition to the minimum experience requirement.Years of ExperienceMinimum Years of Experience: 8 years of relevant professional experiencePreferred Experience:<ul><li>Managing complex IT, data, analytics, or AI initiatives</li><li>Healthcare data and analytics environments</li><li>Enterprise analytics platforms such as Power BI or Tableau</li><li>Cross-functional enterprise project leadership</li></ul>Certification Preferred Certifications:<ul><li>PMP (Project Management Professional)</li><li>Agile or Scrum Certification</li><li>Certified Analytics Professional (CAP)</li><li>AI or Data Management related certifications</li></ul>LicensureNone required.Knowledge, Skills, and Abilities:<ul><li>Strong project management skills managing complex technology and data initiative</li><li>Understanding of enterprise data architecture, analytics platforms, and AI solutions</li><li>Ability to coordinate cross-functional teams across technical and clinical domains</li><li>Knowledge of data governance and data quality practices</li><li>Strong stakeholder management and communication skills</li><li>Ability to translate business needs into actionable project plans</li><li>Strong analytical and problem-solving capabilities</li><li>Familiarity with healthcare performance analytics preferred</li></ul>Physical Demands:<ul><li>Sitting: Frequent (34&ndash;66% of day)</li><li>Standing: Occasional (0&ndash;33% of day)</li><li>Walking: Occasional (0&ndash;33% of day)</li><li>Keyboard/Repetitive motion: Frequent (34&ndash;66% of day)</li><li>Lifting: Under 10 lbs occasionally</li></ul>Occupational Exposure Risk:<ul><li>Blood Borne Pathogens: Not Anticipated</li><li>Chemical Exposure: Not Anticipated</li><li>Airborne Communicable Diseases: Not Anticipated</li><li>Radiation: Not Anticipated</li><li>Extreme Noise Levels: Not Anticipated</li></ul>Disclaimer: This job description provides the major duties/responsibilities, requirements, and working conditions for the position. It is intended to be an accurate reflection of the current role. Management reserves the right to revise or change the job description as necessary to meet organizational needs. Contractors may be required to perform other job-related duties when circumstances require such as emergencies, workload changes, technology changes, or organizational priorities.Pay: $60.00 - $75.00 per hourBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Referral program</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you comfortable working on W2?</li><li>Are you legally authorized to work in the United States: US Citizen/Green Card Holder?</li><li>How many years of work experience do you have with AI Project Management?</li><li>How many years of work experience do you have with AI tools?</li><li>How many years of work experience do you have with EHR tools?</li><li>How many years of work experience do you have with Agile Project Management?</li><li>How many years of work experience do you have with Data Governance?</li><li>How many years of Hospitals and Health Care experience do you currently have?</li><li>How many years of work experience do you have with data analytics?</li></ul>Work Location: Remote

AI & Data Project Manager

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