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Data Scientist Jobs in San Ramon, CA (NOW HIRING)

Find Data Science

Data Scientist

San Francisco, CA

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Provides hands-on execution and implementation of data science models. * Translates business analysis needs into well-defined data science problems, selecting appropriate models and algorithms.

LLNL

Data Scientist

Livermore, CA · On-site

We have an opening for a Data Scientist to provide solutions for various projects. You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer scientists, engineers ...

Cypress HCM

Data Scientist

San Jose, CA · On-site

$105.63/hr

Data Scientist Job Details * Data Scientist (Contract) * Location: San Jose CA 95110 (Hybrid) * Duration: 11/17/2025 to 6/12/2026 * Team: Express Growth US About the Role: * The Express Growth Data ...

LLNL

Data Scientist

Livermore, CA · On-site

$9.8K/wk

We have an opening for a Data Scientist to provide solutions for various projects. You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer scientists, engineers ...

NextDeavor Inc.

Data Scientist

San Francisco, CA

$90.14 - $112.68/hr

Data Scientist Full-time San Francisco, CA, US You'll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You'll Love NextDeavor offers health, vision and dental benefits ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you an experienced Data Scientist with 2+ years' experience who likes solving complex problems? Do you ...

LLNL

Data Scientist

Livermore, CA · On-site

We have an opening fora Data Scientist to provide solutions for various projects. You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer scientists, engineers, and ...

MasterCard

Data Scientist

San Francisco, CA · On-site

Title and Summary Data Scientist Overview: Are you passionate about building scalable, high-performance data platforms that power personalized experiences for millions of users? Do you thrive in a ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he should be as excited as we are to create human-centered AI products poised for rapid growth and ...

Mastercard, Inc.

Data Scientist

San Francisco, CA · On-site

Title and Summary Data Scientist Overview: Are you passionate about building scalable, high-performance data platforms that power personalized experiences for millions of users? Do you thrive in a ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he should be as excited as we are to create human-centered AI products poised for rapid growth and ...

Samba

Data Scientist

San Francisco, CA · On-site

$150 - $185/hr

ABOUT THE ROLE We are looking for a hands‑on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products. The role ...

Clay Labs

Data Scientist

San Francisco, CA · On-site

$170K - $300K/yr

Data Scientist @ Clay We're looking for a Data Scientist to join Clay's Data Science and Analytics team. You'll be durably embedded with a partner team-Product, Marketing, Sales, Finance, or ...

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All JobsData Scientist JobsData Scientist Jobs in San Ramon, CA

Data Scientist information

See San Ramon, CA salary details

$41.9K

$137.2K

$219.6K

How much do data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data scientist in San Ramon, CA is $137,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.
More about Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in San Ramon, CA?

The most popular types of Data Scientist jobs in San Ramon, CA are:

What are popular job titles related to Data Scientist jobs in San Ramon, CA?

For Data Scientist jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in San Ramon, CA look for?

The top searched job categories for Data Scientist jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Data Scientist jobs?

Cities near San Ramon, CA with the most Data Scientist job openings:

Data Scientist jobs near you
Infographic showing various Data Scientist job openings in San Ramon, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,163 per year, or $65.9 per hour.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 19 days ago

Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.