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Contract Machine Learning Data Scientist Jobs in Berkeley, CA

Gilead

Sr Analyst, Data Scientist

Foster City, CA · On-site

The Data Scientist will research, develop, and operationalize advanced machine learning and ... Research and develop machine learning algorithms across quantitative analytics, computer vision ...

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Qualifications for Data Scientist Strong problem solving skills with an emphasis on product ... Knowledge of a variety of machine learning techniques (clustering, decision tree learning ...

Info Way Solutions

DATA SCIENTIST

Fremont, CA · On-site

Info Way Solutions is seeking a Data Scientist to design, develop, and deploy large-scale ... The role requires experience with various machine learning packages and cloud environments, along ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180 - $270/hr

As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a pivotal role in ...

PG Forsta

ML Data Scientist III

Emeryville, CA · On-site

Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III - Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

$110 - $170/hr

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

1872 Consulting

Senior Data Scientist

San Francisco, CA · On-site

Job Summary : 1872 Consulting is a consulting firm seeking a Senior Data Scientist to participate ... The role involves developing machine learning models, collaborating with business partners, and ...

MasterCard

Senior Data Scientist

San Francisco, CA

Title and Summary Senior Data Scientist Overview: We are seeking a Senior Data Scientist to design ... Design, build, and deploy machine learning models for ad targeting, ranking, and bidding ...

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Showing results 21-40

All JobsContract Machine Learning Data Scientist JobsContract Machine Learning Data Scientist Jobs in Berkeley, CA

Contract Machine Learning Data Scientist information

See Berkeley, CA salary details

$45.9K

$150.3K

$240.6K

How much do contract machine learning data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for contract machine learning data scientist 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 contract machine learning data scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.

What are the key skills and qualifications needed to thrive as a contract machine learning data scientist?

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What are popular job titles related to Contract Machine Learning Data Scientist jobs in Berkeley, CA?

For Contract Machine Learning Data Scientist jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Data Scientist jobs in Berkeley, CA look for?

The top searched job categories for Contract Machine Learning Data Scientist jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Contract Machine Learning Data Scientist jobs?

Cities near Berkeley, CA with the most Contract Machine Learning Data Scientist job openings:

Contract Machine Learning Data Scientist jobs near you
Infographic showing various Contract Machine Learning Data Scientist job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $150,286 per year, or $72.3 per hour.

Machine Learning Engineer / Scientist

Until Labs

San Francisco, CA • On-site

$140 - $240/hr

Other

Medical, Dental, Vision, Retirement

Posted 29 days ago

Key responsibilities

  • Build high‑leverage machine learning systems to develop cryoprotectant formulations, engineer antifreeze proteins, and understand vitrification and rewarming physics.

  • Own projects end‑to‑end, including shaping data collection, designing data pipelines, training and evaluating models, and deploying tools for scientists.

  • Collaborate with interdisciplinary teams to translate experimental data into scientific insights and support the development of cryopreservation technologies.

Job description

Until is a moonshot company building a “pause button” for biology. Our near‑term focus is organ‑scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we’re laying the foundation for whole‑body reversible cryopreservation, giving patients a bridge to future cures.

To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole‑body cryopreservation, beginning with rodent models.

We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive.

About the Role

As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You’ll build high‑leverage ML systems that help develop new cryoprotectant formulations, engineer biologically‑inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end‑to‑end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily.

About You
  • Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology).
  • Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus.
  • Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization.
  • Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role.
  • Demonstrated ability to write modular, maintainable, and performant code in Python.
  • Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly.
  • Proficient with developer tooling, including Linux command line, Git, and shell scripting.
  • Ability to think from first principles and tackle complex, cross‑disciplinary problems with other scientists and engineers.
Preferred Qualifications
  • 3+ years of relevant professional or research experience, or a PhD in a computational field.
  • Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency.
  • Experience with cloud infrastructure (AWS, GCP) and SQL databases.
Benefits
  • Opportunity for outsized impact creating the future as an early team member
  • Generous medical, dental and vision insurance coverage
  • Flexible time off and paid holidays
  • Competitive compensation package, including salary and equity
  • 401(k) retirement savings plan
  • FSA and commuter benefits
  • Subsidized lunch daily

$140,000 - $240,000 a year

While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.

As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

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