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Flexible Data Science Jobs in California (NOW HIRING)

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Boot Barn

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive ... Flexible schedules and work/life balance. * Opportunities for growth at every level - we are ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive ... Flexible schedules and work/life balance. * Opportunities for growth at every level - we are ...

Covalent Corp.

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

Preferred Qualifications We are intentionally flexible on formal credentials. Strong candidates may come from academic research, measurements in technical industries, or applied data science. You ...

Covalent

Data Scientist

Sunnyvale, CA · On-site

$150 - $200/hr

Preferred Qualifications We are intentionally flexible on formal credentials. Strong candidates may come from academic research, measurements in technical industries, or applied data science. You ...

MiniMed

Senior AI/Data Science Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

About the Role ThisSenior AI/Data Science Engineer role is focused on delivering big-data analytics ... Benefits & Compensation MiniMed offers a competitive salary and flexible benefits package At ...

New

Walmart

(USA) Principal, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping. * Demonstrate an incremental solution approach with agile and flexible ability to ...

Walmart

(USA) Principal, Data Scientist

Sunnyvale, CA · On-site

Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping. * Demonstrate an incremental solution approach with agile and flexible ability to ...

Walmart

(USA) Principal, Data Scientist

Hayward, CA · On-site

$143K - $286K/yr

Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping. * Demonstrate an incremental solution approach with agile and flexible ability to ...

Walmart

(USA) Principal, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping. * Demonstrate an incremental solution approach with agile and flexible ability to ...

Walmart

(USA) Principal, Data Scientist

Cupertino, CA · On-site

$143K - $286K/yr

Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping. * Demonstrate an incremental solution approach with agile and flexible ability to ...

Walmart

(USA) Principal, Data Scientist

Sunnyvale, CA · On-site

$143K - $286K/yr

Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping. * Demonstrate an incremental solution approach with agile and flexible ability to ...

Walmart

(USA) Principal, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping. * Demonstrate an incremental solution approach with agile and flexible ability to ...

Walmart

(USA) Principal, Data Scientist

Mountain View, CA · On-site

$143K - $286K/yr

Utilize a product mindset to build, scale, and deploy holistic data science products after successful prototyping. * Demonstrate an incremental solution approach with agile and flexible ability to ...

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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.

Data Scientist II

Oscar Health

Los Angeles, CA • Hybrid

$131K - $172K/yr

Full-time

Medical, PTO

Re-posted 3 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

264th of 315 rated insurance

Job description

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

  • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  • Own projects end-to-end, including problem definition, implementation, validation, and iteration
  • Deliver high-quality analytical and modeling outputs with limited manager oversight
  • Collaborate closely with data science peers and cross-functional partners across business units
  • Help ensure data science processes and outputs align with broader team strategies and roadmaps
  • Provide guidance or informal mentorship to junior data scientists or analysts when needed
  • Contribute to improving data science practices, tooling, and documentation

Requirements:

  • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

  • Master's degree in a quantitative or technical field
  • Knowledge of or previous work experience in health care or health insurance
  • Experience mentoring or supporting junior team members
  • Experience deploying or supporting models in production environments

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