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Data Analyst Data Scientist Jobs in San Ramon, CA

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... Your expertise in data analysis, machine learning, and statistical modeling will enable you to ...

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Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

The role combines hands-on scientific data analysis and cross-functional problem solving. You will be expected to engage deeply with how data is generated, interpreted, and used - both in laboratory ...

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Data Scientist

San Francisco, CA · On-site

$110 - $150/hr

Data Scientist OpenArt is an AI Storytelling and Visual Creation Platform used by millions ... Analytics: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Translates business analysis needs into well-defined data science problems, selecting appropriate models and algorithms. * Recognizes and prioritizes the most important work related to data science ...

Qualifications for Data Scientist Strong problem solving skills with an emphasis on product ... Client Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Client Insights, etc.

Data Scientist

San Francisco, CA · On-site

$300K - $400K/yr

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... Analytics: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches ...

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... Analytics: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches ...

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

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 ...

At Apple, we believe extraordinary products are built through deep understanding, rigorous analysis, and relentless focus on quality. We are seeking an exceptional Data Scientist to lead algorithm ...

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Architect, develop, and maintain data analytics platforms that visualize data and drive business ...

Data Scientist

Oakland, CA · On-site

$175.35 - $214.32/hr

# Remote Data Scientist Job at EarnestUSA6 hours agoFull TimeUSA$25000 - $40000 ... Articulate model impacts and analytical insights through presentations and reports, draft ...

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At Apple, we believe extraordinary products are built through deep understanding, rigorous analysis, and relentless focus on quality. We are seeking an exceptional Data Scientist to lead algorithm ...

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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:
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

Find Data Science

San Francisco, CA

Full-time

Posted 2 days ago

New


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.