1

Data Analyst Data Scientist Jobs in San Ramon, CA

This role is expected to translate business objectives into actionable data analysis and ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required M.

Data Scientist Full-time San Francisco, CA, US You'll be joining Adobe on a contract opportunity ... Apply quantitative analysis and statistical modeling to uncover customer behavior and trends * Act ...

This role is expected to translate business objectives into actionable data analysis and ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Role As a Data Scientist at Rox, you will power the intelligence layer behind the world's first ... You'll be responsible for the metrics, insights, and analytical frameworks that shape how we build ...

Data Scientist Job Details * Data Scientist (Contract) * Location: San Jose CA 95110 (Hybrid ... Lead strategic analytics projects and present clearly communicated findings that lead to impactful ...

When you join our Core Analytics Team, you become part of a centralized hub of analytics excellence ... Roku is seeking a Senior Data Scientist to join the Core Analytics team and support the user setup ...

Master's degree in data science, Statistics, Computer Science, Economics, or a related field. * 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics. * Proven ability ...

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Data Scientist

San Francisco, CA · On-site

$200 - $235/hr

Building the data pipelines that power every analysis, dashboard, and ML model across the company ... About You We are looking for a Data Scientist who can take on challenging projects across the ...

Title and Summary Data Scientist Overview: Are you passionate about building scalable, high ... exploratory data analysis (EDA) to uncover trends, patterns, and insights Apply statistical ...

Build analytical models, dashboards, and data products that enable business decision-making ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

New

... data analysis (EDA) to uncover trends, patterns, and insights • Apply statistical techniques to ... data science and/or data engineering roles • Strong programming skills in SQL and Python is ...

Data Scientist

San Francisco, CA · On-site

$138 - $221/hr

Title And Summary Data Scientist Overview Are you passionate about building scalable, high ... Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights * Apply ...

New

The Data Science TeamOur Impact Data is core to Parafin's mission to grow small businesses. Our ... We design experiments and analyses that expand access to capital while keeping the portfolio ...

Showing results 41-60

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.

Full-time

Re-posted 21 days ago


Job description

Company Description

We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate business objectives into actionable data analysis and communicate findings clearly to technical and non-technical audiences

Job Description

Required

Analytical thinking;

Understanding of statistics fundamentals;

In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig);

In-depth knowledge on machine learning methods;

Experience with scripting languages such as Python;

Understanding of main statistical methods;

Understanding of sampling techniques;

Understanding of descriptive and inferential statistics concepts;

Business domain experience in one of the following areas: retail, enterprise mobility, healthcare;


Qualifications

B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required


M.Sc. / Ph.D degree in related field is desirable.

Additional Information

All your information will be kept confidential according to EEO guidelines.