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Manager Of Data Science Jobs (NOW HIRING)

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that ...

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

We believe that the power of people and AI can have a meaningful impact on your world, creating ... Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science & Analytics Manager Company: The Boeing Company Summary: Boeing Commercial Airplanes ... With sound business acumen and a foundational understanding of supply chain, you will lead a high ...

The Role Drive the strategic integration of advanced analytics across the SOF Enterprise. Lead the ... Own the data science and analytics strategy -- descriptive, diagnostic, predictive, and ...

May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity ...

The Opportunity The Sr. Manager of People Data Science will lead and develop the data science function within the Employee Experience team. This role will report to the Head of People Analytics and ...

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Manager Of Data Science information

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$31K

$97.1K

$172K

How much do manager of data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for manager of data science in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Of Data Science vs Data Scientist?

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

How does a Manager of Data Science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

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

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

What is a Manager of Data Science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

What does a data scientist manager do?

A data scientist manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often utilizing tools like Python, R, or SQL, and may require leadership and communication skills alongside technical expertise.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-demand regions may earn higher compensation, often supplemented with bonuses and stock options.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Director of Data Science, Chief Data Officer, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with bonuses and stock options. These roles typically require extensive experience, advanced skills in machine learning, big data tools, and leadership capabilities.
What cities are hiring for Manager Of Data Science jobs? Cities with the most Manager Of Data Science job openings:
What are the most commonly searched types of Of Data Science jobs? The most popular types of Of Data Science jobs are:
What states have the most Manager Of Data Science jobs? States with the most job openings for Manager Of Data Science jobs include:
Senior Manager, Data Science

Senior Manager, Data Science

Walmart

San Mateo, CA • On-site

$143K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,690 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that drive measurable business impact across Walmart. You will partner closely with product, engineering, operations, and business leaders to identify opportunities, develop data-driven strategies, and deploy scalable solutions that improve customer experiences, operational efficiency, and business performance.
You will serve as both a strategic thought partner and technical leader, translating complex business challenges into analytical frameworks and innovative solutions while developing high-performing teams.What you'll do...Senior Manager, Data ScienceWhat You'll DoLead High-Impact Data Science Initiatives
  • Define and execute the data science roadmap aligned to business priorities and organizational goals.
  • Partner with cross-functional stakeholders to identify opportunities where data, machine learning, and AI can create measurable value.
  • Translate ambiguous business challenges into structured analytical problems and actionable solutions.
  • Establish success metrics, quantify business impact, and communicate results to executive leadership.
  • Drive experimentation, measurement, and continuous improvement through test-and-learn frameworks.
Develop Advanced Analytics and Machine Learning Solutions
  • Lead the design, development, validation, and deployment of statistical, machine learning, and AI models at enterprise scale.
  • Guide teams in applying advanced techniques including predictive modeling, optimization, experimentation, forecasting, recommendation systems, natural language processing, and emerging AI technologies.
  • Oversee feature engineering, model selection, model evaluation, and production monitoring to ensure performance, reliability, and scalability.
  • Champion best practices in model governance, validation, explainability, and responsible AI.
Drive Technical Excellence
  • Establish standards for data science, model development, coding practices, experimentation, and deployment.
  • Ensure solutions are scalable, maintainable, and aligned with enterprise architecture and engineering standards.
  • Partner with engineering teams to operationalize machine learning solutions and enable continuous model improvement.
  • Stay current on industry trends and emerging technologies, identifying opportunities to leverage new capabilities across the organization.
Deliver Insights Through Data Storytelling
  • Translate complex analytical findings into compelling narratives tailored to technical and non-technical audiences.
  • Influence strategic decisions through clear communication, visualization, and executive-level presentations.
  • Enable stakeholders to make informed decisions by providing actionable insights and recommendations.
  • Foster a culture of data-driven decision-making across the business.
Build and Develop High-Performing Teams
  • Recruit, develop, and retain world-class data science talent.
  • Coach and mentor managers, senior data scientists, and emerging leaders.
  • Create an inclusive, collaborative team environment focused on innovation, growth, and continuous learning.
  • Establish clear performance expectations and support career development for team members.
Shape Data Strategy
  • Partner with business and technology leaders to define data requirements, governance practices, and long-term analytics strategies.
  • Advocate for data quality, accessibility, and responsible data management.
  • Identify opportunities to unlock business value through the effective use of data and advanced analytics.
  • Influence organizational priorities through strategic insights and thought leadership.
What You'll BringRequired Qualifications
  • Master's degree in Data Science, Statistics, Computer Science, Operations Research, Economics, Mathematics, or a related quantitative field, or equivalent practical experience.
  • 8+ years of experience in data science, machine learning, advanced analytics, or related disciplines.
  • 3+ years of people leadership experience managing and developing data science teams.
  • Expertise in statistical modeling, machine learning, experimentation, and large-scale analytical problem solving.
  • Proficiency with Python, SQL, and modern data science ecosystems.
  • Experience deploying and operationalizing machine learning solutions in production environments.
  • Demonstrated ability to influence senior stakeholders and drive business outcomes through data-driven insights.
Preferred Qualifications
  • Experience leading data science teams in retail, eCommerce, supply chain, marketplace, advertising, fintech, or consumer technology environments.
  • Experience working with large-scale structured and unstructured datasets.
  • Knowledge of cloud-based machine learning platforms and MLOps practices.
  • Experience leveraging generative AI, large language models, and emerging AI technologies to solve business challenges.
  • Track record of driving measurable business impact through advanced analytics and machine learning solutions.
You'll Make an Impact By
  • Solving complex business problems through data, analytics, and AI.
  • Building innovative, scalable solutions that improve customer and associate experiences.
  • Developing the next generation of data science leaders.
  • Driving strategic decisions through insights and measurable business outcomes.
  • Advancing Walmart's mission to help people save money and live better.

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 $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

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.Preferred Qualifications...

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’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...640 W California Ave, Sunnyvale, CA 94086-4828, United States of AmericaWalmart 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.

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Benefits

Hours and flexibility

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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