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Freelance Data Science Jobs in California (NOW HIRING)

... freelancers, part-time workers, etc.). Assist in establishing systems for collector recruitment ... Majors in Computer Science, Communications, Automation, Data Science, Management, or related fields ...

Collaborate with data scientists, analysts, and business stakeholders to understand data ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

From freelance AI training gigs to first internships to full-time careers, Handshake is where ... Partner closely with product, engineering, marketing, data science, and content teams to define ...

... the data pipelines and dashboards that show what is working. You will then put those systems to ... Internships, co-ops, student ventures, research projects, freelance work, and substantial portfolio ...

... the data pipelines and dashboards that show what is working. You will then put those systems to ... Internships, co‑ops, student ventures, research projects, freelance work, and substantial ...

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... the data pipelines and dashboards that show what is working. You will then put those systems to ... Internships, co-ops, student ventures, research projects, freelance work, and substantial portfolio ...

... the data pipelines and dashboards that show what is working. You will then put those systems to ... Internships, co-ops, student ventures, research projects, freelance work, and substantial portfolio ...

Verify claims, specifications, and data against source materials, and flag issues for scientific ... Relevant internships, academic or journal publishing, and substantial freelance work count * Strong ...

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About Mission Bit Mission Bit equips youth with hands-on computer science and AI education that ... You recognize the importance and sensitivity of the data. How work is assigned * Events will be ...

About Mission Bit Mission Bit equips youth with hands-on computer science and AI education that ... You recognize the importance and sensitivity of the data. How work is assigned * Events will be ...

... Data Science, and Product Design to drive engagement, retention, trust, and financial progress ... Oversee external agencies, freelancers, and production resources as needed. * Drive measurable ...

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Showing results 1-20

Freelance Data Science information

See California salary details

$37K

$121.1K

$193.9K

How much do freelance data science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for freelance data science in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a freelance data scientist?

Freelance data scientists are independent professionals who analyze, interpret, and extract insights from data for clients on a project or contract basis, rather than working as full-time employees for a single organization. They leverage skills in statistics, programming, and machine learning to solve business problems, build predictive models, and visualize data. Freelance data scientists often work with multiple clients across various industries, providing flexibility and the ability to specialize in different types of data projects. Their work may include tasks such as data cleaning, exploratory data analysis, algorithm development, and reporting findings to stakeholders.

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

To thrive as a Freelance Data Scientist, you need strong proficiency in statistics, programming (commonly Python or R), and data analysis, often backed by a degree in a quantitative field or relevant certifications. Mastery of tools like Jupyter Notebook, SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience with cloud platforms are typically required. Excellent communication, self-motivation, and time management skills set successful freelancers apart by enabling effective client collaboration and project delivery. These abilities ensure you can independently deliver actionable insights and solutions that meet diverse client needs in a competitive market.

What are the most common challenges faced by freelance data scientists when working with clients remotely?

Freelance data scientists often encounter challenges such as unclear project scopes, varying data quality, and communication gaps when collaborating remotely with clients. It's essential to establish clear expectations, maintain regular updates, and set milestones to ensure both parties are aligned throughout the project. Additionally, freelancers may need to adapt to different tools or platforms based on each client's preferences, requiring flexibility and strong self-management skills. Building trust and delivering insights in a clear, actionable manner can help foster long-term client relationships.

What is the difference between Freelance Data Science vs Data Analyst?

AspectFreelance Data ScienceData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or Microsoft Data AnalystOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed within organizations, working in teams or departments
Employer & Industry UsageFreelance data science projects across various industries like tech, finance, healthcareIn-house roles in industries such as finance, marketing, healthcare, and retail

Freelance Data Science involves independent, project-based work requiring advanced skills in machine learning, programming, and statistical analysis. Data Analysts typically focus on interpreting existing data, creating reports, and visualizations within organizations. While both roles require strong analytical skills, freelance data scientists often handle more complex modeling tasks, whereas data analysts focus on data interpretation and reporting.

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 cities in California are hiring for Freelance Data Science jobs?

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

Infographic showing various Freelance Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Digital Analyst II , short-term freelance

INNOCEAN INC

Huntington Beach, CA • On-site

$100K - $110K/yr

Other

Medical, Retirement

Posted yesterday

New


Job description

INNOCEAN USA, a full-service advertising agency located in Huntington Beach, is seeking a freelance Digital Analyst II to join our Kia team!
This is a contract role starting ASAP through 1/29/27.
We are a hybrid workplace, x3 days week in-office. Candidates must be local to SoCal.
We are seeking a data science-oriented Digital Analyst to support our digital analytics and data engineering team in collecting, validating, and reporting on website performance and working with media data. Looking for a candidate who lives in the data, not just the dashboard - focused on using data to generate insights and power data-driven decisions across the business for our client. You will work with a team of analysts and engineers responsible for collecting, ingesting, monitoring, measuring, and improving the health and performance of our digital channels, while supporting the transformation layer that turns raw event data into trusted, analysis-ready datasets. If you've ever fixed a report by fixing the table behind it, this is your role.
The Digital Analyst II will work closely with senior analysts, directors, strategists, and cross functional partners to ensure accurate data collection and clear reporting that drives insights.
ESSENTIAL DUTIES/RESPONSIBILITIES
Analysis & Insight
  • Analyze channel performance metrics, identify trends, and support data-driven decisions to improve results
  • Translate raw data into clear, actionable recommendations for stakeholders and strategy partners
  • Support ad hoc analysis requests and presentation preparation for internal teams and clients

Data Engineering & Modeling
  • Write performant SQL to process large event-level datasets
  • Contribute to data architecture, including scheduled jobs, workflows, and basic orchestration
  • Implement data quality checks, freshness monitoring, and validation logic so problems surface before stakeholders finds them
  • Partner with senior level data engineers on ingestion, table design, and access patterns; support the layer between raw data and reporting

Reporting & Data Hygiene
  • Build and maintain recurring reports and dashboards using Google Analytics 4, BigQuery, Databricks SQL, Looker, Tableau, or similar platforms
  • Document definitions and metric logic so the business trusts a single source of truth
  • Partner with internal teams to understand reporting needs and measurement goals

REQUIREMENTS:
  • 3-6 years of experience in web analytics, digital marketing analytics, or data analysis, with meaningful exposure to data engineering or analytics engineering work
  • Strong SQL
  • Working proficiency in a coding language for analysis and data processing
  • Hands-on experience with Databricks, or a clear willingness to ramp quickly - notebooks, Delta Lake, SQL warehouses, and scheduled jobs
  • Proficiency in marketing analytics tools (Google Analytics 4, Adobe Analytics), including querying GA4 exports in BigQuery or a lakehouse environment
  • Proficiency in data visualization tools (Looker, Tableau, Power BI, Data Studio)
  • Strong analytical and problem-solving skills
  • Strong attention to detail and genuine care about data accuracy and quality
  • Clear written and verbal communication skills

PREFERRED QUALIFICATIONS:
  • Experience with Delta Lake, Unity Catalog, or Databricks Workflows
  • Strong knowledge of statistical analysis, hypothesis testing, regression, and predictive modeling
  • Experience with incrementality testing, media mix modeling, or attribution
  • Exposure to tag management systems (GTM)
  • Cloud platform familiarity (AWS)
  • Solid understanding of digital marketing concepts (media, SEO, site performance, funnels)
  • Working knowledge of HTML, JavaScript, or how websites function
  • Agency or multi-stakeholder environment experience

BENEFITS:
  • Access to our health benefits
  • Paid sick days
  • 401k match
  • On-site Barista
  • Beautiful campus across from the Pacific Ocean

Salary range: $105,000 to $110,000
Pay is dependent upon several factors including but not limited to: years of experience, client, training, and transferable skills.
Who are we? We are a global brand growth company, independent in spirit, built on one belief: if it doesn't move people, it won't move business. So, we go where others don't. Deep inside human life. Closer to what people think, feel, value, and do. We've built the tools and methods to get there and stay there. The closeness is our advantage. That's where momentum and growth live.