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Flexible Data Science Jobs in California (NOW HIRING)

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to ... Flexible PTO Policy * 401k plan * Paid Parental Leave * Physical and mental wellbeing benefits ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

You will report into Director, Data Science on our Merchant Analytics team in our Analytics ... For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.

ServiceTitan

Director, Data Science

Glendale, CA · On-site +1

Own the data science and applied AI roadmap for operations-agentic systems, forecasting, lead ... Flexible time off with ample learning and development opportunities to continue growing your career.

Faire

Data Science Intern

San Francisco, CA

$75/hr

Our Data Science team builds and maintains the algorithmic systems - spanning search ... Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are ...

Boot Barn

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Flexible schedules and work/life balance. * Opportunities for growth at every level - we are ...

Boot Barn

Director, Data Science & Insights

Irvine, CA

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Flexible schedules and work/life balance. * Opportunities for growth at every level - we are ...

Coupang

Director of Data Science

Mountain View, CA

$174K - $299K/yr

Role Overview Coupang is seeking a Director of Data Science to lead high-impact, data-driven ... Flexible Spending Accounts (FSA) & Health Savings Account (HAS) * Long-term/Short-term Disability

Figma

Director, Data Science

San Francisco, CA · On-site

$290K - $376K/yr

The AI Product's Data Science org is at the center of the next generation of products at Figma ... Exempt employees are eligible for employer-provided paid flexible PTO in addition to flexible paid ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Our Data Science team builds and maintains the algorithmic systems - spanning search ... Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are ...

Swayable

Research Data Scientist

San Francisco, CA · On-site

Job Summary : Swayable is a fast-growing AI and automated data science platform that measures ... a flexible team player whose values align with ours Preferred : • Experience writing and ...

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Flexible Data Science information

What is flexible data science?

Flexible data science refers to the practice of applying data science methods, tools, and techniques in a way that adapts to different industries, project requirements, and work environments. Professionals in flexible data science may work remotely, part-time, on contract, or across multiple domains, using skills in statistics, programming, and data analysis to solve a variety of problems. This approach allows both employers and data scientists to adjust workflows and deliverables to fit changing business needs and schedules.

How does a flexible data science role typically structure collaboration and workload across multiple projects?

In a flexible data science role, professionals often work on several projects simultaneously, collaborating with cross-functional teams such as engineering, product management, and business stakeholders. This structure requires strong communication skills and the ability to prioritize tasks effectively. The work environment is usually dynamic, with shifting priorities and the need to adapt to different project requirements. Flexibility in both working hours and methodologies enables data scientists to manage deadlines while delivering actionable insights for diverse business needs.

What are the key skills and qualifications needed to thrive as a flexible data scientist, and why are they important?

To thrive as a Flexible Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), data visualization tools (such as Tableau or Power BI), and experience with cloud platforms are widely required. Adaptability, problem-solving, and effective communication are crucial soft skills for translating complex data insights into actionable business strategies. These competencies ensure you can handle varied data challenges, deliver valuable insights, and collaborate effectively across dynamic project environments.

What are the most commonly searched types of Data Science jobs in California?

The most popular types of Data Science jobs in California are:

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

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

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

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

What cities in California are hiring for Flexible Data Science jobs?

Cities in California with the most Flexible Data Science job openings:

Flexible Data Science jobs near you
Infographic showing various Flexible Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Director of Data Science

Brigit

San Francisco, CA • On-site

$225K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!
Brigit is doing innovative and exciting work, but don't just take our word for it, our work is being recognized by others:
  • Built In's 2026 Best Midsize Companies to Work For in New York City
  • Built In's 2025 Best Places to Work For In New York City
  • Built In's 2024 & 2025 Best Startups to Work For In the U.S.
  • Built In's 2023 - 2025 Best Startups to Work For In New York City
  • Fast Company's Most Innovative Companies of 2022
  • Business Insider's Most Promising Consumer Startups 2022
  • Forbes Fintech 50 2022

Role Overview:
At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year and continue to iterate and optimize in the areas of credit risk and payments, where we already have models deployed. We are looking for a leader to enable continued adoption of AI-assisted development and agentic workflows in how the team builds, evaluates, documents, and ships data science work. Doing this will require our team to grow, but it will also require a more concerted effort to plan and integrate with product teams, understand their roadmap, and explore projects that make sense in this context. To support this growth, we'd like to hire a motivated Director of Data Science to grow and lead this team to its maximum potential.
What you'll be doing:
  • Managing and growing a team of data scientists focused on modeling key business problems.
  • Mentoring and guiding team members as they build out quantitative models in python using industry-standard techniques.
  • Evangelizing the data science team's capabilities and integrating with product, engineering and operations teams to build a roadmap and backlog of data science solutions with business impact.
  • Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction.
  • Helping lead the team's adoption of AI-assisted development and agentic workflows, including identifying practical use cases, setting working norms, and ensuring these tools are used with appropriate review, validation, privacy, and quality standards.
  • Working closely with our Modeling Engineer to optimize and improve our infrastructure for model research, development and deployment.

What you have:
  • 2+ years of Data Science management with a team of >3
  • 5+ years of modeling/data science experience overall
  • 2+ years of experience at a consumer product company
  • Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.)
  • Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial.
  • A Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred
  • Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders
  • A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes
  • Hands-on familiarity with modern AI-assisted coding and agentic tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar, with a strong point of view on how these tools can improve data science productivity, quality, and business impact.

The anticipated annual base salary for this position is $225,000 - $250,000, and a 10% annual bonus opportunity. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
Our Benefits & Team
  • Medical, dental, and vision insurance
  • Flexible PTO Policy
  • 401k plan
  • Paid Parental Leave
  • Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
  • Monthly reimbursements to use against wifi and cell phone bills
  • Annual reimbursement for Learning & Development
  • Help hard working Americans build a brighter financial future
  • High-growth company
  • A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.
Disclosures:
  • For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
  • Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

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