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Data Science Project Manager Jobs in California (NOW HIRING)

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... Translate business requirements into actionable data science projects aligned with strategic ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... Translate business requirements into actionable data science projects aligned with strategic ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... Translate business requirements into actionable data science projects aligned with strategic ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... Translate business requirements into actionable data science projects aligned with strategic ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... Translate business requirements into actionable data science projects aligned with strategic ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... Translate business requirements into actionable data science projects aligned with strategic ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... Translate business requirements into actionable data science projects aligned with strategic ...

Coursework or project experience in statistical modeling, data analysis, or a related quantitative field (e.g., mathematics, economics, physics, computer science). * Familiarity with SQL for data ...

New

Data Scientists work across the organization to help shape our business and technical strategies by ... Attention to detail, project management, and organizational skills * Fast learner with capacity to ...

Data Scientists work across the organization to help shape our business and technical strategies by ... Attention to detail, project management, and organizational skills * Fast learner with capacity to ...

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

... project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence Leverage technical (coding ...

... project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence Leverage technical (coding ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

JOB QUALIFICATIONS The ideal candidate is a seasoned data science professional with strong leadership skills, a track record of managing data science projects, and the ability to translate complex ...

Showing results 21-40

Data Science Project Manager information

See California salary details

$16

$56

$79

How much do data science project manager jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data science project manager in California is $56.75, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $66.44 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

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

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are popular job titles related to Data Science Project Manager jobs in California?

For Data Science Project Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science Project Manager jobs in California look for?

The top searched job categories for Data Science Project Manager jobs in California are:

What cities in California are hiring for Data Science Project Manager jobs?

Cities in California with the most Data Science Project Manager job openings:

Infographic showing various Data Science Project Manager job openings in California as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $118,050 per year, or $56.8 per hour.

(USA) Senior Manager, Data Science

Cupertino, CA • On-site

Walmart
Retail • 10K+ employees

$143K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,721 frontline employees who took The Breakroom Quiz


Job description

Position Summary... What you'll do...Role summary:
The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy complex models that drive strategic business decisions. This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members, collaborating cross-functionally, and ensuring alignment with organizational goals. The successful candidate will apply rigorous evaluation techniques, oversee model deployment at scale, and communicate findings effectively to stakeholders, fostering continuous improvement and innovation within a dynamic business environment.
About the team:
The CDI Data Science team is integral to the Customer Data & Identity organization within Walmart US Decision Sciences. This team develops advanced machine learning, deep learning, and agentic capabilities to support products and platforms across Customer Identity, Intelligence, Segmentation, Marketing, and decisioning systems. The team applies rigorous modeling, data visualization, and analytical techniques to deliver actionable insights and scalable solutions. Collaborating closely with business stakeholders, the team drives innovation and continuous improvement to enhance customer experiences and business outcomes through data-driven strategies and cutting-edge technologies.
What you'll do:
  • Lead the development, assessment, and validation of advanced analytical models using best practices to ensure accuracy, robustness, and business relevance.
  • Design and implement data visualization solutions that effectively communicate complex insights to stakeholders and support decision-making.
  • Translate business requirements into actionable data science projects aligned with strategic objectives and measurable outcomes.
  • Guide and mentor team members on modeling techniques, feature engineering, and data analysis methodologies.
  • Oversee model deployment, monitoring, and continuous improvement to maintain performance at scale.
  • Collaborate cross-functionally with product, program and engineering teams to execute initiatives by identifying data sources, ensuring quality, and building data-driven business solutions.

What you'll bring:
  • Extensive experience in data science, machine learning, and advanced statistical modeling techniques.
  • Proficiency in Python, SQL, and data visualization tools such as Tableau, PowerBI, and Python libraries.
  • Strong leadership and people management skills with a proven ability to mentor and develop teams.
  • Expertise in model assessment, validation, deployment, and scaling within complex business environments.
  • Solid understanding of business strategies and ability to translate data insights into actionable recommendations.
  • Demonstrated project management capabilities and experience aligning technical solutions with business goals.
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... 809 11th Ave, Sunnyvale, CA 94089-4731, 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.

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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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