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Manager Walmart Data Science Jobs in Ohio (NOW HIRING)

Credence

Data Science Manager

Dayton, OH · On-site

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional ...

Credence

Data Science Manager

Bath, OH · On-site

$100 - $140/hr

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional ...

New

Jobtailor

Senior Manager, Data Science

Marysville, OH · On-site

$120 - $180/hr

* Lead a data science team turning commercial questions into production ML and analytics * Deliver ... Stakeholder Management * LLM Evaluation * RAG * Embeddings * Vector Search * Agent Workflows Tools ...

Credence

Data Science Manager

Dayton, OH · On-site

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional ...

Varsity Tutors

Data Science Tutor

Akron, OH · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Cincinnati, OH · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Cleveland, OH · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Quadax

Data Science Analyst

Middleburg Heights, OH · On-site

You'll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You'll leverage data ...

New

Quadax, Inc.

Data Science Analyst

Middleburg Heights, OH · On-site +1

You'll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You'll leverage data ...

New

Further

Data Science Analyst

Cleveland, OH

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 ...

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All JobsWalmart Data Science JobsManager Walmart Data Science JobsManager Walmart Data Science Jobs in Ohio

Manager Walmart Data Science information

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.

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.

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 Ohio?

The most popular types of Walmart Data Science jobs in Ohio are:

What are popular job titles related to Manager Walmart Data Science jobs in Ohio?

For Manager Walmart Data Science jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Manager Walmart Data Science jobs in Ohio look for?

The top searched job categories for Manager Walmart Data Science jobs in Ohio are:

What cities in Ohio are hiring for Manager Walmart Data Science jobs?

Cities in Ohio with the most Manager Walmart Data Science job openings:

Manager Walmart Data Science jobs near you
Infographic showing various Manager Walmart Data Science job openings in Ohio as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Data Science Manager

Dayton, OH • On-site

Credence
See more jobs at Credenceexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Overview
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.
We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 13 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.
Position Summary
Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional who enjoys transforming complex procurement, logistics, and enterprise systems data into actionable insights through analytics, automation, dashboards, data modeling, and decision-support solutions for Air Force stakeholders.
The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force Protection, and Nuclear Integration (HQ AFMC/A4/10) has the AFMC mission responsibility to: shape the workforce and infrastructure to provide logistics, sustainment, and installation support for acquisition logistics, supply management, depot maintenance, and base-level logistics operations, and deliver responsive strategic facility and infrastructure oversight and over-arching direction for all Major Command (MAJCOM) security operations...resulting in war-winning expeditionary capabilities.
In this position, the selected candidate will support enterprise data modernization efforts by helping connect data across systems, improve data quality, identify trends, develop meaningful visualizations, and translate business needs into scalable analytics and business intelligence solutions.
Responsibilities include, but are not limited to the duties listed below:
  • Provide professional services in support of the Digital Materiel Management (DMM) initiative as defined in the PWS.
  • Support DMM modernization efforts by providing integrated tools for contract data normalization, analysis, and analytics to facilitate Air Force-wide insight into procurement data.
  • Utilize current and future DoD and Air Force IT systems to connect procurement data and generate tools and visualizations for the procurement community.
  • Perform professional and administrative tasks in support of the contracting functional community's DMM efforts.
  • Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
  • Acquire and analyze data and metrics across the enterprise to determine how they can be incorporated into data visualizations and dashboards.
  • Conduct exploratory data analysis, trend analysis, and data quality assessments to uncover patterns, risks, opportunities, and actionable insights that support operational and strategic decision-making.
  • Collaborate with business areas and project teams to elicit, identify, prioritize, and document data visualization and business intelligence requirements.
  • Translate complex data findings into clear narratives, dashboards, and data stories that enable non-technical stakeholders to understand key insights and make informed decisions.
  • Serve as a functional and technical data visualization and business intelligence subject matter expert.
  • Translate business analysis and business needs into prototype concepts for reports and dashboards and contribute to design and visualization best practices.
  • Utilize business intelligence tools to take dashboard requirements and develop deliverable solutions.
  • Create and update Python scripts for data translation from multiple sources.
  • Support data pipeline, data integration, and automation activities by working with structured and unstructured data from multiple enterprise systems and applying repeatable, scalable approaches to data transformation.
  • Serve as a functional and technical Robotic Process Automation (RPA) subject matter expert.
  • Document data acquisition, data management, and data governance processes.
  • Promote data governance, metadata management, data lineage, and standardization practices to improve consistency, usability, and trust in enterprise data assets.
  • Make and implement process improvements and efficiencies.
  • Create training materials and user guides.
  • Conduct group and one-on-one training sessions with end users.

Requirements
Education, Requirements and Qualifications:
  • Must have an active or current Secret security clearance, or higher.
  • BA/BS degree and at least three (3) years of experience in the respective technical/professional discipline being performed, with proper certifications required in the labor category performance requirements
  • OR six (6) years of directly related experience.
  • Knowledgeable in enterprise software development and the acquisition life cycle, with applied knowledge of Government program management skills and document preparation.
  • Ability to use Government-provided office automation tools.
  • Knowledge of federal and Department e-business and contracting systems, analytics platforms, and data tools, including but not limited to Conwrite, Automated Contract Preparation System (ACPS), CON-IT, Advana, CDO-VALT, Program Management Resource Tools (PMRT), Federal Procurement Data System-Next Generation (FPDS-NG), Procurement Integrated Enterprise Environment (PIEE) suite, Electronic Document Access (EDA), Wide Area Workflow (WAWF), ABSS, ERP systems, SQL, Python, UiPath, Qlik Sense, QlikView, Tableau, Power BI, Power Apps, and • Power Automate, data modeling, dashboard development, data visualization, data transformation, and business intelligence reporting.
  • Extensive knowledge of the federal acquisition process, including in-depth experience with the Federal Acquisition Regulation (FAR), Defense Federal Acquisition Regulation Supplement (DFARS), Department of the Air Force Federal Acquisition Regulation Supplement (DAFFARS), and DoD and Air Force acquisition instructions.

Preferred Experience:
  • Hands-on experience with Python, SQL, Power BI, Tableau, Qlik, Power Apps, Power Automate, UiPath, or similar tools for dashboards, reporting, automation, and data-driven solutions.
  • Experience leveraging AI/ML, Generative AI, predictive analytics, or automation technologies to improve data-driven decision-making, business process efficiency, and operational outcomes within DoD, Air Force, or federal environments.
  • Experience with data pipelines, integration, transformation, cleansing, validation, data modeling, governance, metadata, or data lineage.
  • Ability to apply exploration analysis, trend analysis, statistical analysis, predictive analytics, or machine learning concepts to support business insights and decision-making.
  • Strong ability to present complex data insights through clear dashboards, visualizations, narratives, and recommendations for technical and non-technical stakeholders.

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development

Apply