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Data Scientist Project Manager Jobs in California

Find Data Science

Data Scientist

San Francisco, CA

Document methodologies and processes to ensure that data science projects are scalable and sustainable. * Assist in the data governance process to ensure data accuracy and integrity. Requirements

Staffingine LLC

Senior Data Scientist

Los Angeles, CA · On-site

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 ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Project Oversight & Execution - Manage and oversee the development of machine learning models and ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Project Oversight & Execution - Manage and oversee the development of machine learning models and ...

Dlapiper

Data Scientist

San Diego, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

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 ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

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 ...

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... Strong project management and organizational skills

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All JobsData Scientist Project JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in California

Data Scientist Project Manager information

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

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

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

Can a data scientist become a project manager?

A data scientist can transition to a project manager role by developing skills in leadership, communication, and project planning, often supported by certifications like PMP or Agile. Their technical expertise can be valuable in managing data-driven projects, but they typically need to gain experience in managing teams and project workflows.

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

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

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

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

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

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

Data Scientist Project Manager jobs near you
Infographic showing various Data Scientist Project Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 22 days ago

Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.