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Data Science Project Manager Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Director, Data Science

San Bruno, CA · On-site

$169K - $338K/yr

Demonstrated leadership in mentoring teams, managing projects, and fostering continuous learning ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

The work they are doing is a data conversion project where one team is building a new financial ... managing the cutover process to ensure a smooth transition to the new system. The conversion is ...

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Lead highly complex projects with technical and analytic challenges, developing innovative solutions and building advanced capabilities. * Discover and pioneer new approaches to data science problems ...

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 Personal and Student Loans businesses

Senior Data Scientist

San Mateo, CA · On-site

$170K - $210K/yr

... , and Design, contributing through hands-on modeling, thoughtful analysis, and clear communication of results. How You Will Make an Impact: * Work on data science projects across marketing and ...

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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 Jun 28, 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 the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

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 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 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.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight 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:

Digital Marketing Data Scientist

Alten Calsoft Labs

Palo Alto, CA • On-site

Contractor

Posted 25 days ago


Job description

Company Description
ALTEN Calsoft Labs is an engineering and IT services company that innovates, integrates and transforms business leveraging digital technology.
Job Description
You will be a team member of the Digital Marketing Analytics team, working in the data sciences area, with specific focus on Digital Marketing business problems.
You'll be responsible for supporting analytics that drive business optimizations across the customer end-to-end journey. This role will support the full cycle of an experiment (from data-driven hypothesis generation to test design to analysis and interpretation) while also innovating on experimental methodologies that allow us to obtain meaningful results.
You should have hands-on technical experience in statistics, predictive modeling and other data sciences, as well as extensive experience in developing data-sets for data science projects. The position requires superb communication and advanced analytical skills.
Qualifications
• Total Indicative Experience: 4-7 Years (or equivalent education) with experience in Digital Marketing specifically.
• Hands-on experience with one or more of the primary data science tool-sets: R, SAS, SPSS, Python, and models such as ARIMA.
• Hands-on experience with Adobe Analytics, Tableau and/or Power BI.
• Experience using advanced analytics techniques to tackle digital marketing business problems, such as, pre-funnel behavior analysis to predict insights in the digital journey prior to web form conversions, insights across tactics, multi-touch attribution, campaign sequencing, ROI analysis for paid campaign efficacy, and forecasting for pipeline metrics.
• Working knowledge of methods such as regression, cohort analysis, hypothesis testing, cluster analysis with hands-on experience translating raw data from relational databases and Hadoop into modeling data sets (using Excel, SQL, SAS or other coding tools) is desired.
• Good business & technical communication skills, both verbal and written. Ability to explain and present analytics concepts to non-technical audiences. Ability to establish & cultivate relationships with all stakeholders.
• Proven project management and organizational skills. Ability to effectively prioritize time, manage expectations and deliverables. A self-starter, who proactively looks for new and better ways of doing things. Shows drive, passion and a sense of ownership.
• Graduate degree in data sciences, advanced analytics, statistics or related fields is preferred, or equivalent on-the-job experience (experience in high-tech enterprise business-to-business industry is ideal, as is prior experience from a reputed analytics firm doing similar work).
Additional Information
All your information will be kept confidential according to EEO guidelines.