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Senior Data Scientist Machine Learning Jobs in Berkeley, CA

Senior Data Scientist

San Francisco, CA ยท On-site

$140K - $175K/yr

As a senior member of a small data science team, this person will also help establish strong ... Minimum Qualifications * 4+ years of experience in data science, analytics, or machine learning.

Sr. Data Scientist

San Francisco, CA ยท Remote

$162K - $238K/yr

The Opportunity We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data ... You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that ...

(USA) Senior, Data Scientist

San Mateo, CA ยท On-site

$117K - $234K/yr

The Senior Data Scientist leads the development of advanced machine learning solutions that power Search relevance, Personalization, and customer discovery experiences. This role independently drives ...

(USA) Senior, Data Scientist

San Mateo, CA ยท On-site

$117K - $234K/yr

The Senior Data Scientist leads the development of advanced machine learning solutions that power Search relevance, Personalization, and customer discovery experiences. This role independently drives ...

(USA) Senior, Data Scientist

Hayward, CA ยท On-site

$117K - $234K/yr

The Senior Data Scientist leads the development of advanced machine learning solutions that power Search relevance, Personalization, and customer discovery experiences. This role independently drives ...

Sr. Data Scientist

San Francisco, CA ยท On-site

$162.92 - $238.95/hr

The Opportunity We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data ... You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that ...

(USA) Senior, Data Scientist

Hayward, CA ยท On-site

$117K - $234K/yr

The Senior Data Scientist leads the development of advanced machine learning solutions that power Search relevance, Personalization, and customer discovery experiences. This role independently drives ...

Showing results 21-40

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:

Data Scientist / Senior Data Scientist

Relentless Health, Inc.

Menlo Park, CA โ€ข On-site

$160K - $225K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 15 days ago


Job description

About Diagnose Early
Diagnose Early is making non-invasive breath testing a mainstream technology. Our mission right now is to use toxin testing and fitness monitoring to help our users detect health risks early. Our long-term vision is to use the data we collect to diagnose health conditions early.
To achieve this, we have assembled a truly world-class team that brings together technical expertise, academic excellence, medical knowledge, and business acumen. The team is working to achieve the best outcomes for all our users and to deliver our mission and vision.
For more Information, visit https://www.diagnoseearly.com.
Position Details
Position Title: Data Scientist / Senior Data Scientist
Department: Data Science, Technology group
FLSA Status: Exempt
Location: Menlo Park, CA
Salary Range: $160K - $225K
Reports to: CTO
Scope of Job
Job Summary:
This role will be at the forefront of our AI-driven initiatives, working with a diverse team of experts in biology, bioinformatics, and machine learning. The responsibilities include developing and implementing innovative data analysis pipelines, predictive models, and visualization tools that will contribute to the understanding of complex and varied health datasets. These efforts will support the delivery of data products to our users in order to improve their health outcomes. The role requires working collaboratively with cross-functional teams to extract valuable insights and translate them into actionable knowledge. The candidate requires a proven track record of applying AI and machine learning techniques, ideally to healthcare datasets. They must have excellent problem-solving skills and ability to think creatively, as well as strong communication skills to collaborate with multidisciplinary teams.
Essential Functions
To include, but are not limited to the following:
  • Data Science
    • Work closely with our scientists to understand complex, biological and healthcare datasets and apply this domain-specific knowledge to transform raw data into suitable formats for downstream analysis.
    • Clean, preprocess, and curate diverse biological datasets, ensuring data quality and integrity.
    • Engineer appropriate datasets to support the development and deployment of data products, some of which are based on machine / deep learning models.
  • Engineering
    • Build high quality custom software to support any activities across the various technology groups.
  • Communication
    • Communicate insights, results, and analyses to stakeholders using advanced visualization techniques.
  • Research
    • Contribute to interdisciplinary discussions to guide experimental design and data collection.

QUALIFICATIONS GUIDELINES
To include, but are not limited to the following:
  • A 4-year degree in a quantitative field such as statistics, math, computer science, physics, or engineering from an accredited college or university.
  • 4+ years proven experience in a data science or quantitative analysis role.
  • Demonstrable proficiency in handling and processing big data sets from various sources, including, SQL, relational DBMS and cloud services.
  • High proficiency in Python. Solid experience with other languages, such as R and Julia is a bonus.
  • Extensive experience in applied statistics and machine/deep learning methods.
  • The ability to speak and write fluent English.
  • Experience with healthcare data and the regulatory environment associated with the application of AI is a bonus.

Physical Requirements: standing, sitting, walking, stairs, light lifting, computer operation.
Diagnose Early is an equal opportunity employer. Diagnose Early offers a competitive compensation package including medical/dental, 401K, paid time off, holidays, and equity.