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Contract Machine Learning Data Scientist Jobs in Berkeley, CA

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

Our client is looking for a senior data scientist for our first-of-its-kind sales analytics ... of machine learning algorithms, and will absolutely love finding meaning in multiple imperfect ...

They are seeking a Junior Data Scientist to analyze complex data sets, develop AI models, and ... Analyzing and investigating complex data sets using machine learning and natural language models to ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the ... with machine learning and optimization models * 2+ years of experience with model deployment ...

The Data Scientist at the Analyst / Team Lead level is responsible for solving complex business ... Strong expertise in machine learning and deep learning techniques, including MLPs, large language ...

Senior Data Scientist

San Mateo, CA · On-site

$170 - $210/hr

Senior Data Scientist, Marketing and Personalization San Mateo, CA, United States (Hybrid) At ... Build, validate, and deploy machine learning and statistical models for use cases such as ...

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Showing results 41-60

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:

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.

AIA MLEU - Python Data Scientist

Avani Technology Solutions, Inc.

San Francisco, CA • On-site

Contractor

Re-posted 5 days ago


Job description

• Proven experience as a Data Scientist for at least 2 projects • Experience in data profiling and data mining process • Statistical Analysis and modeling for predictions based on multiple dependent factors • Must be strong in Predictive modeling such as linear/logistic regression modeling and other Machine Learning techniques like Neural Network etc. • Knowledge of statistical methods to understand the trends and patterns hidden in the data • Define, design, implement, train and test the analytical models • Strong Analytical mind and business acumen • Specify, design, and implement new data science applications, methodologies, models, and algorithms • Bachelor's degree in Computer Science along with any Machine Learning certifications • Extensive experience in programming languages Python, scikit learn, AWS Sagemaker - 2 year is Must • Exposure in Building ML Model on AWS Platform. • Any exposure in handling MLOps using for Machine Learning Model deployment will be a big plus • Candidate must be good at writing SQL queries using PySpark / Spark SQL • Provide forward-thinking recommendations to business in a big data environment as and when needed. • Excellent communication and presentation skills to present in multiple vendor environment
Hours : 8:00am to 5:00pm
Education :
Additional Job Details :