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Contract Machine Learning Data Scientist Jobs in Berkeley, CA

Walmart

Senior, Data Scientist

San Bruno, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

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 ...

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 ...

CYNET SYSTEMS

Principal Data Scientist

Oakland, CA · On-site

$128 - $148/hr

Master's Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field. * Experience in Data Science ...

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 · 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 ...

MasterCard

Data Scientist

San Francisco, CA

Title and Summary Data Scientist Overview: Are you passionate about building scalable, high ... Develop, validate, and deploy machine learning models for business use cases Perform exploratory ...

MasterCard

Senior Data Scientist

San Francisco, CA · On-site

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 ...

Mastercard, Inc.

Data Scientist

San Francisco, CA · On-site

... machine learning models for business use cases • Perform exploratory data analysis (EDA) to ... data science and/or data engineering roles • Strong programming skills in SQL and Python is ...

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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 Aug 12, 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.

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 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.

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 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 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.

Senior, Data Scientist

Walmart

San Bruno, CA • On-site

$117K - $234K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,398 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers

Job description

Position Summary...What you'll do...
We are seeking a Senior Data Scientist with a strong foundation in machine learning, information retrieval, and LLMs. The selected candidate will be responsible for architecting and developing new Machine Learning models to enhance Customer Intelligence and Segmentation landscape within Walmart. This is an exciting opportunity for a creative and innovative professional who thrives in a fast-paced, results-driven environment.
Experience building machine learning, Deep Learning models, GenAI applications and deploying to production grade platforms
Hiring Requirements
Job Details
  • Develop generative AI LLM-based applications, , multi-agent workflows, machine learning algorithms and computational algorithms based on business initiatives.
  • Developing GenAI applications/chatbots, MCP, RAG based applications.
  • Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.
  • Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights.
  • Build and train statistical models and machine learning algorithms for replication for future projects.
  • Develop custom models and algorithms to drive business solutions, and scale them to large data sets.

What you'll bring:
Our team is part of the Data Science Center of Excellence for Customer Data and Identity to build AI Insights and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of Customer data initiatives building Machine Learning, Deep Learning models, and leveraging Generative AI (GenAI) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.
  • Experience with Large Language Models (LLMs).
  • 3-5 years of experience as technical on-hands data scientist building and deploying solutions.
  • Solid understanding of Machine Learning models including Logistic Regression, Support Vector Machine, Random Forest, Gradient Boosting Decision and Deep Neural Networks.
  • Familiarity with Deep Learning frameworks including Tensorflow and Pytorch.
  • Experience with Cloud technology including GCP, AWS, and Azure.
  • Proficient in Java and Python.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- StockMinimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location...850 Cherry Ave, San Bruno, CA 94066-3031, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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