The Data Science Manager - Space Intelligence plays a critical role in the technical design and delivery of AI-enabled planogram automation capabilities. This role partners closely with Strategy and ...
The Data Science Manager - Space Intelligence plays a critical role in the technical design and delivery of AI-enabled planogram automation capabilities. This role partners closely with Strategy and ...
Data Science Analyst
Atlanta, GA · On-site
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 ...
Data Science Analyst
Atlanta, GA · On-site
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 ...
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 ...
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 ...
Manager, Data Science and Analytics
$91K - $119K/yr
Overview We are looking for a results-driven Data Scientist Manager to lead end-to-end analytics initiatives and build scalable models that drive business impact. This role requires a strong ...
Manager, Data Science and Analytics
$91K - $119K/yr
Overview We are looking for a results-driven Data Scientist Manager to lead end-to-end analytics initiatives and build scalable models that drive business impact. This role requires a strong ...
VP of Data Science
Atlanta, GA · On-site
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 ...
VP of Data Science
Atlanta, GA · On-site
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 ...
Senior Data Science Manager - Marketing Science
Atlanta, GA · On-site +1
$180K - $210K/yr
As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference ...
Senior Data Science Manager - Marketing Science
Atlanta, GA · On-site +1
$180K - $210K/yr
As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference ...
Data Science Manager - Market Origination
Atlanta, GA · On-site +1
$160K - $190K/yr
Strong technical foundation in data science, statistics, or software engineering. * Demonstrated management experience - leading, mentoring, and scaling high-output teams. * Proficiency in SQL and ...
Data Science Manager - Market Origination
Atlanta, GA · On-site +1
$160K - $190K/yr
Strong technical foundation in data science, statistics, or software engineering. * Demonstrated management experience - leading, mentoring, and scaling high-output teams. * Proficiency in SQL 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 ...
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 ...
Data Scientist
Duluth, GA · On-site
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 ...
Data Scientist
Duluth, GA · On-site
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 ...
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 ...
Data Scientist
Dunwoody, GA · Hybrid
Our data science teams also embrace staying current with the evolving data science landscape ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...
Data Scientist
Dunwoody, GA · Hybrid
Our data science teams also embrace staying current with the evolving data science landscape ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...
Data Scientist
Atlanta, GA · On-site
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 ...
Quick apply
Data Scientist
Atlanta, GA · On-site
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 ...
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 ...
Sr. Data Scientist
Atlanta, GA · On-site
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 ...
Sr. Data Scientist
Atlanta, GA · On-site
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 ...
Senior Manager - Data Science
Atlanta, GA · On-site
The Senior Manager, Data Science provides leadership to professional staff focused on a narrow range of work within a function (i.e., a job family) Is accountable for the performance and results of ...
Senior Manager - Data Science
Atlanta, GA · On-site
The Senior Manager, Data Science provides leadership to professional staff focused on a narrow range of work within a function (i.e., a job family) Is accountable for the performance and results of ...
Data Science Engineer (Python & Databricks) - Q125
Alpharetta, GA · On-site
$111K - $134K/yr
... management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to ... Data Science Engineer (Python & Databricks) Location: Alpharetta, GA (willing to travel to client ...
Data Science Engineer (Python & Databricks) - Q125
Alpharetta, GA · On-site
$111K - $134K/yr
... management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to ... Data Science Engineer (Python & Databricks) Location: Alpharetta, GA (willing to travel to client ...
The Senior Manager, Data Science provides leadership to professional staff focused on a narrow range of work within a function (i.e., a job family) Is accountable for the performance and results of ...
The Senior Manager, Data Science provides leadership to professional staff focused on a narrow range of work within a function (i.e., a job family) Is accountable for the performance and results of ...
Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...
Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...
Network with both academic and industry experts to further the application of data science to business problems Direct Manager/Direct Reports: * This position typically reports to Senior Manager or ...
Network with both academic and industry experts to further the application of data science to business problems Direct Manager/Direct Reports: * This position typically reports to Senior Manager or ...
Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...
Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...
Manager Walmart Data Science information
What are the key skills and qualifications needed to thrive as a manager in Walmart Data Science?
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 in 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?
| Aspect | Manager Walmart Data Science | Data Analyst Walmart |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Data Science, Statistics, or related field; experience in data management and leadership | Bachelor's in Data Analysis, Statistics, or related field; proficiency in data tools |
| Work Environment | Leads data science teams, manages projects, collaborates with cross-functional teams | Analyzes data sets, prepares reports, supports decision-making |
| Employer & Industry Usage | Commonly employed in retail, logistics, and e-commerce sectors within Walmart | Widely 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:
Full-time
Re-posted 9 days ago
Home Depot rating
7.4
Based on 6,420 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
We are transforming how merchandising decisions are made through AI-powered solutions and automation. The Data Science Manager - Space Intelligence plays a critical role in the technical design and delivery of AI-enabled planogram automation capabilities. This role partners closely with Strategy and Process teams to ingest business requirements and translate them into a scalable technical roadmap, overseeing the development of business rules, AI/ML algorithms, and optimization techniques that accurately reflect merchandising intent. As the technical owner of the solution, this leader designs the end-to-end technical strategy to integrate tools and platforms together into a cohesive, scalable process, ensuring the underlying math, automation logic, and learning systems are sound, efficient, and adaptable.
As a people and technical leader, the Data Science Manager leads and mentors a team of data scientists and solution engineers, setting coding standards, QA processes, and deployment best practices to ensure solutions are robust, maintainable, and production-ready. Acting as a trusted technical advisor to Strategy and business partners, this role evaluates proposed initiatives for technical feasibility, identifies advanced analytical and AI opportunities, and translates high-level business goals into impactful automated systems. The role also collaborates closely with fellow Data Science Managers to align approaches, manage talent effectively, and deliver clear, executive-level communication that drives alignment across all levels of the organization.
Key Responsibilities:
Direct Manager/Direct Reports:
Travel Requirements:
Physical Requirements:
Working Conditions:
Minimum Qualifications:
Preferred Qualifications:
Minimum Education:
Preferred Education:
Minimum Years of Work Experience:
Preferred Years of Work Experience:
Minimum Leadership Experience:
Preferred Leadership Experience:
Certifications:
Competencies:
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $110,000.00 - $240,000.00
Position Purpose:
We are transforming how merchandising decisions are made through AI-powered solutions and automation. The Data Science Manager - Space Intelligence plays a critical role in the technical design and delivery of AI-enabled planogram automation capabilities. This role partners closely with Strategy and Process teams to ingest business requirements and translate them into a scalable technical roadmap, overseeing the development of business rules, AI/ML algorithms, and optimization techniques that accurately reflect merchandising intent. As the technical owner of the solution, this leader designs the end-to-end technical strategy to integrate tools and platforms together into a cohesive, scalable process, ensuring the underlying math, automation logic, and learning systems are sound, efficient, and adaptable.
As a people and technical leader, the Data Science Manager leads and mentors a team of data scientists and solution engineers, setting coding standards, QA processes, and deployment best practices to ensure solutions are robust, maintainable, and production-ready. Acting as a trusted technical advisor to Strategy and business partners, this role evaluates proposed initiatives for technical feasibility, identifies advanced analytical and AI opportunities, and translates high-level business goals into impactful automated systems. The role also collaborates closely with fellow Data Science Managers to align approaches, manage talent effectively, and deliver clear, executive-level communication that drives alignment across all levels of the organization.
Key Responsibilities:
- 40% People Management & 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
- 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
- 15% Strategy & 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
- 20% Technical Exploration & 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
Direct Manager/Direct Reports:
- This position typically reports to Senior Manager or above
- This position has Direct Reports & manages programs
Travel Requirements:
- Typically requires overnight travel 5% to 20% of the time.
Physical Requirements:
- 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.
Working Conditions:
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Preferred Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related technical field.
- 7+ years of industry experience in data science, applied machine learning, or software engineering, and 2+ years in a people or technical leadership role.
- Strong foundation in applied data science with experience building and maintaining production-grade software, coupled with the ability to set technical direction, establish standards, and drive data science and engineering excellence from concept through production at scale.
- Hands-on experience developing AI-powered tools and platforms that integrate seamlessly with existing enterprise software ecosystems.
- Proficiency in python and solid understanding of engineering best practices, including APIs, microservices, version control, CI/CD, testing and deployment.
- Experience designing and operating large-scale data pipelines and distributed systems with AI/ML components, preferably on cloud platforms such as GCP and VertexAI.
- Familiar with microservices architectures and deploying models and APIs in containerized, cloud-neutral environments.
- Familiar with or contributed to AI agents or agentic applications in real-world, production settings.
- Proven ability to translate complex business processes and strategy into scalable, maintainable architectures, including well-orchestrated data and ML pipelines, while clearly communicating technical constraints and trade-offs to non-technical stakeholders.
- Domain experience in retail, merchandising, e-commerce, or supply chain, or familiarity in space intelligence concepts such as store layout optimization, merchandising analytics, computer vision, and LLM-based solutions.
Minimum Education:
- 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.
Preferred Education:
- No additional education
Minimum Years of Work Experience:
- 8
Preferred Years of Work Experience:
- No additional years of experience
Minimum Leadership Experience:
- None
Preferred Leadership Experience:
- None
Certifications:
- None
Competencies:
- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
- Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
- Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
- Develops Talent: Developing people to meet both their career goals and the organization's goals
- Directs Work: Provides direction, delegating and removing obstacles to get work done
- Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
- Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
- Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
- Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
- Persuades: Using compelling arguments to gain the support and commitment of others
- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $110,000.00 - $240,000.00
What Home Depot employees say
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About Home Depot
Sourced by ZipRecruiter
The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.
Industry
Retail and manufacturing
Company size
10,000+ Employees
Headquarters location
Atlanta, GA, US