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Data Science Project Manager Jobs in California (NOW HIRING)

Heluna Health

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 ...

Heluna Health

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 ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

River Partners

Data Science Intern

San Diego, CA · On-site

$18 - $20/hr

Data Science Intern Location: Chico, California Status : Temporary- Full-time, Non-Exempt Start ... Developing processes for integrating project management software with field collection data to ...

RXinsider LTD.

Manager Data Science

San Diego, CA · On-site

You will lead and manage global, data scientists and engineers, ensuring high-quality, reliable access to data. * You will oversee the design, development, validation, and deployment of machine ...

SoFi

Senior Manager, Data Science

San Francisco, CA · On-site

You will serve as a data leader, balancing urgent requests and delivering high quality projects to ... Manage a team of Data Scientists supporting SoFi's Checking and Savings, Invest, Credit Card ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... better manage risk, build higher-performing provider networks, and create a standout consumer ... science projects across multiple teams and domains. In this role, you'll take ownership of ...

CIM Group, LP

Data Science Intern

Los Angeles, CA · On-site

The Data Science Intern will contribute to real-world projects at the intersection of business, economics, and data science. As part of the Enterprise Data Management team, the intern will support ...

New

CIM Group, LP

Data Science Intern

Los Angeles, CA · On-site

The Data Science Intern will contribute to real-world projects at the intersection of business, economics, and data science. As part of the Enterprise Data Management team, the intern will support ...

New

Visa

Senior Manager, Data Science

Foster City, CA · On-site

As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development ... integration projects. Prior experience in payments, or a background in building high volume ...

Waymo

Senior Data Scientist

San Diego, CA

In this hybrid role you will report to a data science manager. You will: * Develop evaluation ... Establish yourself as the point-of-contact for a significant project area by using data to drive ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in California

Data Science Project Manager information

See California salary details

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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:

Data Science Project Manager jobs near you
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.

Data Scientist Supervisor

Alhambra, CA • On-site

Heluna Health
Non-Profits • 1 - 5K employees
Learn more about Heluna Healthexternal

$9.8K - $13K/mo

Full-time

Re-posted 29 days ago

Job description

Salary Range: $9,852.82 - $13,278.10 Monthly
SUMMARY
The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making across the Los Angeles County Department of Health Services (DHS). The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery. The unit also ensures data integrity, security, and regulatory compliance.
The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit, overseeing the execution of advanced analytical projects, machine learning initiatives, and data-driven strategies. This role is responsible for managing the development and implementation of predictive models, optimizing data workflows, and ensuring that analytical solutions align with organizational objectives. The Data Scientist Supervisor provides technical leadership, mentors team members, and fosters a collaborative environment to drive innovation and efficiency in data science operations.
ESSENTIAL FUNCTIONS
  1. Team Leadership & Mentorship - Lead, coach, and mentor data scientists, fostering a culture of continuous learning and professional growth.
  2. Project Oversight & Execution - Manage and oversee the development of machine learning models and analytical solutions to meet business needs.
    1. Apply advanced statistical methods, machine learning algorithms, and data mining techniques to analyze large and varied datasets, uncovering trends and patterns that provide actionable insights.
    2. Fine-tune and optimize models, ensuring they are scalable, efficient, and aligned with business requirements.
    3. Mentor junior data scientists and guide their model development, statistical analysis, and data science practices.
  3. Data Engineering & Workflow Optimization - Collaborate with engineering teams to ensure the scalability, efficiency, and accuracy of data pipelines.
  4. Quality Assurance & Best Practices - Establish and enforce best practices in data science methodologies, model validation, and documentation.
  5. Advanced Data Analysis & Modeling
    1. Lead the development of predictive, prescriptive, and diagnostic models to address complex business problems and optimize decision-making processes.
    2. Machine Learning & AI Implementation - Design, train, and optimize machine learning models for forecasting, anomaly detection, and automation.
  6. Insightful Reporting & Visualization
    1. Create and deliver high-quality, clear, and actionable reports and dashboards, translating complex data findings into easily understandable insights for both technical and non-technical stakeholders.
    2. Use advanced visualization tools and techniques to convey analytical results effectively to leadership and business teams.
    3. Develop and implement metrics and KPIs that measure the effectiveness of data science initiatives and model performance.
  7. Strategic Collaboration & Stakeholder Engagement
    1. Work closely with business leaders and stakeholders to define data-driven strategies and deliver actionable insights.
    2. Translate complex technical concepts into actionable business insights and recommendations for non-technical audiences.
    3. Partner with IT, engineering, and business teams to integrate data science solutions into operational processes.
  8. Continuous Improvement & Research
    1. Stay abreast of emerging data science techniques, industry trends, and technologies to drive innovation within the team and ensure best-in-class data science practices.
    2. Lead research initiatives that explore new methods for data analysis, modeling, and automation.
    3. Continuous improvement of data science workflows, techniques, methodologies, new tools, and technologies within the organization.

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 analytics into strategic business recommendations. They should possess a combination of technical expertise, team management experience, and a deep understanding of machine learning and data-driven decision-making.
Education/Experience
  • Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 6+ years of experience in data science, with at least 2 years in a leadership role.
  • Extensive hands-on experience in machine learning, AI, and predictive modeling. Proven experience leading and mentoring data science teams.

Certificates/Licenses/Clearances
  • Successful clearing through the Live Scan process with the County of Los Angeles.

Other Skills, Knowledge, and Abilities
  • Advanced programming skills in Python, R, and SQL for model development and data processing.
  • Expertise in cloud computing (AWS, Azure, GCP) and big data technologies.
  • Strong experience with data visualization tools (Tableau, Power BI) for storytelling and reporting.
  • Deep knowledge of data engineering concepts, ETL processes, and model deployment.
  • Proven ability to lead data science projects from ideation to implementation.
  • Excellent communication skills to present complex insights to both technical and non-technical audiences.
  • Experience mentoring junior data scientists and fostering a data-driven culture.
  • Strong understanding of agile methodologies and project management principles.
  • Commitment to innovation and staying at the forefront of industry trends.

PHYSICAL DEMANDS
Stand: Not applicable
Walk: Not applicable
Sit: Frequently
Handling / Fingering: Constantly
Reach Outward: Constantly
Reach Above Shoulder: Not applicable
Climb, Crawl, Kneel, Bend: Not applicable
Lift / Carry: Occasionally - Not applicable
Push/Pull: Occasionally - Not applicable
See: Constantly
Taste/ Smell: Not Applicable
Not Applicable = Not required for essential functions
Occasionally = (0 - 2 hrs/day)
Frequently = (2 - 5 hrs/day)
Constantly = (5+ hrs/day)
WORK ENVIRONMENT
Hybrid
EEOC STATEMENT
It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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