ZipRecruiter

Log In

1

Senior Data Scientist Machine Learning Jobs in Berkeley, CA

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 ...

Nash, Inc.

Senior Data Scientist

San Francisco, CA · On-site +1

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and ... What you'll bring * 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a ...

Nash

Senior Data Scientist

San Francisco, CA · On-site

$180 - $240/hr

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and ... What you'll bring * 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a ...

MSD

Senior Data Scientist

South San Francisco, CA

We are actively recruiting a Senior Data Scientist within the Quantitative Biosciences Department ... Strong background with computational methods(such as statistics, machine learning, AI, or software ...

Fabergent

Sr Data Scientist

San Ramon, CA · On-site

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 ...

MrBeast

Senior Data Scientist

San Mateo, CA · Hybrid

Senior Data Scientist Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The ... The Work You'll apply advanced statistics, experimentation, and machine learning to hard business ...

next page

Showing results 1-20

All JobsData Scientist Machine Learning JobsSenior Data Scientist Machine Learning JobsSenior Data Scientist Machine Learning Jobs in Berkeley, CA

Senior Data Scientist Machine Learning information

See Berkeley, CA salary details

$50.8K

$174.4K

$246.1K

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

As of Aug 19, 2026, the average yearly pay for senior data scientist machine learning in Berkeley, CA is $174,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,100.00 and $203,900.00 per year, depending on experience, location, and employer.

What does a senior data scientist specializing in machine learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

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

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

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

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Berkeley, CA?

The most popular types of Data Scientist Machine Learning jobs in Berkeley, CA are:

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

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

Senior Data Scientist Machine Learning jobs near you

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

San Ramon, CA • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Berkshire Hathaway Specialty Insurance (BHSI) is a strategic and trusted insurance partner providing a broad range of commercial insurance coverages. They are seeking a Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics team, responsible for applying data science techniques to assess risk and develop models for various natural and man-made perils.
Responsibilities:
• Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
• Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
• Work with domain experts across teams and perils to enhance our use of available data.
• Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.
Qualifications:
Required:
• Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
• Advanced knowledge of probability theory, statistics, and machine learning methods is required
• Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
• Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
• Strong written and verbal communication skills
• Comfort working within git-based version-control environments
• Highly motivated, detail oriented, and team player
Preferred:
• 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
• Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
• Strong programming skills in Python (preferred), R, and SQL
• Experience and understanding of relational and non-relational databases preferred
• Experience with Databricks or other cloud-based data and analytics platforms preferred
Company:
Berkshire Hathaway Specialty Insurance is a company providing risk solutions and claims care. Founded in 2013, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply