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Freelance Data Science Jobs in Berkeley, CA (NOW HIRING)

Solomon Page

Manager Data Engineer

San Francisco, CA · On-site

$90/hr

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 ...

Handshake

Staff Product Designer

San Francisco, CA · On-site

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 ...

Mission Bit

Freelance Event Photographer

San Francisco, CA · On-site

$100 - $150/hr

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 ...

Mission Bit

Freelance Event Photographer

San Francisco, CA · On-site

$100 - $150/hr

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 ...

Intuit

Group Creative Director - Credit Karma

Oakland, CA · On-site

$213K - $289K/yr

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

Intuit

Group Creative Director - Credit Karma

Oakland, CA · On-site

$213K - $289K/yr

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

Intuit

Group Creative Director - Credit Karma

Oakland, CA · On-site

$213K - $289K/yr

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

Radical Numerics

Marketing Associate

San Francisco, CA · On-site

$70 - $90/hr

We've redesigned the foundation model training stack to turn the world's raw scientific data (e.g ... Source, brief, and manage specialized vendors and freelancers (designers, video producers ...

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All JobsData Science JobsFreelance Data Science JobsFreelance Data Science Jobs in Berkeley, CA

Freelance Data Science information

See Berkeley, CA salary details

$45.9K

$150.3K

$240.6K

How much do freelance data science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for freelance data science in Berkeley, CA is $150,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $166,500.00 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 Berkeley, CA?

The most popular types of Data Science jobs in Berkeley, CA are:

What are popular job titles related to Freelance Data Science jobs in Berkeley, CA?

For Freelance Data Science jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Freelance Data Science jobs in Berkeley, CA look for?

The top searched job categories for Freelance Data Science jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Freelance Data Science jobs?

Cities near Berkeley, CA with the most Freelance Data Science job openings:

Freelance Data Science jobs near you
Infographic showing various Freelance Data Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $150,286 per year, or $72.3 per hour.

Manager Data Engineer

Solomon Page

San Francisco, CA • On-site

$90/hr

Contractor

Medical, Dental, Retirement

Re-posted 9 days ago

Job description

We're looking for a Manager, Data Engineering with deep Big Data expertise to design, develop, and maintain scalable data pipelines and analytics solutions. In this role, you'll partner with cross-functional teams to ensure data quality, availability, and performance - while leading and mentoring a team of data engineers to drive data-driven decision-making across the organization.
  • Pay range :$80/hr on w2 to $90/hr on w2

Responsibilities:
  • Design and implement large-scale data processing systems using Big Data technologies such as Hadoop, Spark, Kafka, and Flink
  • Develop and optimize data pipelines, ensuring high performance, reliability, and scalability
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights
  • Implement best practices for data governance, security, and compliance
  • Automate data workflows and ETL processes to improve efficiency and reduce manual effort
  • Troubleshoot and resolve performance issues, ensuring smooth data operations
  • Stay updated on emerging Big Data technologies and recommend innovative solutions to enhance data capabilities
  • Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous learning

Qualifications
Required:
  • 8+ years of experience in data engineering, with a focus on Big Data technologies
  • Strong expertise in Hadoop, Spark, Kafka, Flink, and related frameworks
  • Proficiency in SQL, NoSQL databases, and data warehousing solutions
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure
  • Strong programming skills in Python, Scala, or Java
  • Hands-on experience with data modeling, ETL processes, and real-time data processing
  • Knowledge of data governance, security, and compliance best practices
  • Proven ability to lead and manage data engineering teams in an Agile environment
  • Excellent problem-solving, communication, and stakeholder management skills

Preferred (Set Yourself Apart With):
  • Experience with machine learning pipelines and AI-driven data solutions
  • Certifications in Big Data technologies (e.g., Cloudera, Databricks, AWS Big Data)
  • Knowledge of DevOps practices for data engineering and CI/CD pipelines
  • Strong understanding of data architecture and distributed computing

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
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