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Manager Walmart Data Science Jobs in Georgia (NOW HIRING)

They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure ... to manage client expectations, present to non-technical audiences, and pivot quickly based on ...

We are looking for a Data Science Analyst who can not just report on performance, but also ... Ability to manage client expectations, present to non-technical audiences, and pivot quickly based ...

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and ... Through understanding of Agile project management methodology * Ability to travel as dictated by ...

... to manage multiple, diverse stakeholders across business areas and leadership levels * Experience with gathering and interpreting business requirements for designing and scalable data science ...

Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...

We are seeking an accomplished and forward-thinking Data Science Manager with expertise in Generative AI to lead our Data Science team. In this role, you will drive the strategy, development, and ...

Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Client Data Management * Intake and validate client outcome data (performance, retention, hiring ... Collaborate with Data Scientists on methodology refinement and framework improvements * Support ...

Contributes to the strategic direction of the data science function within the organization. * Presents insights and findings to upper management, recommending improvements to data strategy and ...

Manage and direct data science team to accomplish technical goals and develop data insights * Provides guidance and supervision to Data Scientists on data science best practices and Novelis data ...

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Manager Walmart Data Science information

What are the key skills and qualifications needed to thrive as a Manager in Walmart Data Science, and why are they important?

To thrive as a Manager in Walmart Data Science, you need a strong background in data analytics, machine learning, and statistical modeling, typically supported by an advanced degree in a quantitative field. Familiarity with tools such as Python, SQL, Tableau, and big data platforms like Hadoop or Spark, as well as experience with cloud services and data visualization, is essential. Leadership, effective communication, and project management skills help in leading teams and translating data insights into business impact. These competencies ensure the delivery of actionable analytics that drive strategic decision-making and operational efficiency at scale.

What does a Manager of Walmart Data Science do?

A Manager of Walmart Data Science leads a team of data scientists to analyze large sets of data and generate insights that help drive business decisions at Walmart. They are responsible for overseeing data-driven projects, collaborating with other departments, and ensuring the effective use of advanced analytics and machine learning techniques. Their work helps optimize operations, improve customer experience, and identify new opportunities for growth. Additionally, they play a key role in mentoring team members and aligning data science initiatives with company goals.

How does a Manager in Walmart Data Science typically collaborate with cross-functional teams to drive business impact?

As a Manager in Walmart Data Science, you'll regularly partner with teams across merchandising, supply chain, technology, and business strategy. Your role involves translating complex data insights into actionable strategies, leading meetings to align on project goals, and ensuring your team's models and analyses address real business needs. You'll often facilitate communication between technical data scientists and non-technical stakeholders, helping bridge gaps and drive consensus on data-driven initiatives. These collaborations are crucial for delivering solutions that improve customer experience, operational efficiency, and overall business performance.

What is the difference between Manager Walmart Data Science vs Data Analyst Walmart?

AspectManager Walmart Data ScienceData Analyst Walmart
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience in data management and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data tools
Work EnvironmentLeads data science teams, manages projects, collaborates with cross-functional teamsAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageCommonly employed in retail, logistics, and e-commerce sectors within WalmartWidely used in retail, marketing, and operations departments at Walmart

The Manager Walmart Data Science role focuses on leading data science teams, developing models, and strategic insights, while the Data Analyst Walmart role emphasizes data analysis, reporting, and supporting business decisions. Both roles require strong analytical skills, but the manager position involves leadership and project management responsibilities.

What are the most commonly searched types of Walmart Data Science jobs in Georgia? The most popular types of Walmart Data Science jobs in Georgia are:
What are popular job titles related to Manager Walmart Data Science jobs in Georgia? For Manager Walmart Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Manager Walmart Data Science jobs in Georgia look for? The top searched job categories for Manager Walmart Data Science jobs in Georgia are:
What cities in Georgia are hiring for Manager Walmart Data Science jobs? Cities in Georgia with the most Manager Walmart Data Science job openings:

$56K - $57K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.

This role at Digitas will serve as a member of Publicis Groupe's strategic internal agency, Constellation.

Constellation serves as an internal-facing brand formed by a collective of Publicis Groupe agencies to address our client's creative, data, strategy, media, and technology requirements. Team members collaborate across agencies while functioning as sub-divisions within their respective brands to provide dedicated support for the client. By acting as a unified interface, Constellation eliminates operational silos and presents a single service entity and primary point of contact for the client.

Job Description

By implementing conceptual data frameworks and developing marketing science solutions, The Associate Director, Data Science is a key partner for our client and internal teams. In this role, you will show thought leadership in bringing innovative data science methodologies that answer our client's marketing and strategy questions.

Responsibilities

Client & Business Impact

  • Serve as a strategic advisor to clients and internal stakeholders on data science applications and approaches
  • Translate analytical work into clear business value and actionable recommendations
  • Identify opportunities to expand data science impact and contribute to organic account growth

Project & Cross-Capability Leadership

  • Lead multiple concurrent data science projects across clients and capabilities with varying complexity
  • Define project approach, manage risks, and align stakeholders on priorities and outcomes
  • Partner across media, strategy, analytics, and technology teams to deliver integrated solutions
  • Represent data science across cross-functional initiatives and client engagements

Thought Leadership & Innovation

  • Provide a clear point of view on statistical methods, machine learning, and measurement approaches
  • Evaluate, develop, and socialize new methodologies, tools, and AI-driven solutions
  • Apply innovative thinking to solve complex marketing and business problems

Team Leadership & Culture

  • Mentor and develop junior team members through coaching and feedback
  • Foster a collaborative, inclusive, and high-performing team environment
  • Contribute to capability development, training, and best practices
Qualifications
  • 7-9 years of experience in data science, analytics, or marketing science within an agency, consulting, or technology environment
  • Strong foundation in statistical modeling, machine learning, causal inference, and experimental design
  • Proficiency in SQL, Python and/or R; experience with distributed systems or large-scale data processing preferred
  • Experience with Marketing Mix Modeling (MMM), attribution, and incrementality measurement
  • Hands-on experience with cloud platforms (preferably GCP: BigQuery, Looker, DataProc) and deploying data science solutions
  • Strong understanding of modern AI/ML approaches and their practical applications
  • Proven ability to connect data science solutions to business outcomes and client value
  • Demonstrated experience leading multiple projects and influencing cross-functional teams
  • Experience managing and developing data science talent
  • Excellent communication skills, with the ability to synthesize complex concepts for a range of audiences
  • Comfortable navigating ambiguity in fast-paced, evolving environments
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

 Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/1/2026.Employment Type: FULL_TIME