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Data Analyst Data Scientist Jobs in San Ramon, CA

Pinterest

Data Scientist

San Francisco, CA · Remote

As a Data Scientist you will shape the future of people-facing and business-facing products we ... Build and prototype analysis pipelines iteratively to provide insights at scale while developing ...

Roku

Senior Data Scientist

San Jose, CA · On-site

$179K - $212K/yr

When you join our Core Analytics Team, you become part of a centralized hub of analytics excellence ... Roku is looking for a Senior Data Scientist to join the Core Analytics team supporting the Roku TV ...

Mindlance

Data Scientist

San Francisco, CA · On-site

They are seeking a Data Scientist to develop predictive models in marketing, understand business problems, and apply advanced analytic techniques. The role involves using machine learning models for ...

Mindlance

Data Scientist

San Francisco, CA · On-site

They are seeking a Data Scientist to develop predictive models in marketing, understand business problems, and apply advanced analytic techniques to improve campaign performance and content quality.

The Voleon Group

Data Scientist

Berkeley, CA · On-site

$150 - $190/hr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... Your role will involve data curation, analysis, interpretation, visualization, and communication of ...

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 ... Expertise in statistical methods for time series analysis, statistical modeling, and probabilistic ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

Analyze large data sets to discover trends and patterns * Maintain a pulse on the current state of data science and basketball analytics * Other duties as assigned Required Experience & Skills

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

Analyze large data sets to discover trends and patterns * Maintain a pulse on the current state of data science and basketball analytics * Other duties as assigned Required Experience & Skills

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Applies data science, machine learning and other analytical modeling methods to develop defensible ... and reproducible predictive models * Serves as the technical lead for the development of computer ...

Genentech

Senior Data Scientist

South San Francisco, CA

$156K - $290K/yr

An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). PT Digital and Operational Excellence ...

Genentech

Senior Data Scientist

South San Francisco, CA · On-site

$156.20 - $290.20/hr

An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). PT Digital and Operational Excellence ...

Cacheflow

Principal Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

Produce deep strategic analyses on revenue, platform health, operational efficiency, and ... Represent Databricks externally as a data science thought leader at industry conferences, in ...

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Showing results 21-40

All JobsData Analyst Data Scientist JobsData Analyst Data Scientist Jobs in San Ramon, CA

Data Analyst Data Scientist information

See San Ramon, CA salary details

$51.4K

$184.4K

$272.1K

How much do data analyst data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analyst data scientist in San Ramon, CA is $184,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What cities near San Ramon, CA are hiring for Data Analyst Data Scientist jobs? Cities near San Ramon, CA with the most Data Analyst Data Scientist job openings:
Data Analyst Data Scientist jobs near you
Infographic showing various Data Analyst Data Scientist job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $184,411 per year, or $88.7 per hour.

Data Scientist

Pinterest

San Francisco, CA • Remote

Full-time

Re-posted 6 days ago

Job description

As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you'll do

  • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
  • Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
  • Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
  • Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

What we're looking for

  • 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
  • Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
  • Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
  • A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
  • Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
  • Excellent communication skills and ability to explain learnings to both technical and non-technical partners
  • A team player who's able to partner with cross-functional leadership to quickly turn insights into actions
  • Bachelor's degree in Computer Science, a related field or equivalent experience

This position is not eligible for relocation assistance.

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