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

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi's ability to execute with data. This is an exciting role for someone ...

Senior Director, Data Science

Hayward, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

Data Science Director

Menlo Park, CA · On-site

$253K - $314K/yr

Responsibilities Inspire, lead and grow a distributed team of data scientists and data science leaders across North America • Apply your expertise in quantitative analysis, data mining, and the ...

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

Senior Director, Data Science

Fremont, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

Director, Data Science

San Francisco, CA · On-site

$290K - $376K/yr

The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and ...

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

Data Science Lead

Milpitas, CA · On-site +1

$148K - $168K/yr

Data Science Lead Job Code: A011.4794 Job Location: Milpitas, CA Job Type: Full-Time Rate of Pay: $148,000 - $168,000 Job Duties: Build models for supply chain improvement with a focus on network and ...

Data Science Lead

Milpitas, CA · On-site

$148K - $168K/yr

Data Science Lead Job Code: A011.4794 Job Location: Milpitas, CA Job Type: Full-Time Rate of Pay: $148,000 - $168,000 Job Duties: Build models for supply chain improvement with a focus on network and ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate business requirement to analytical model * Communicate directly with business users * Technical Skills ...

Showing results 41-60

Data Science information

See San Ramon, CA salary details

$41.9K

$137.2K

$219.6K

How much do data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science 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.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in San Ramon, CA? The most popular types of Data Science jobs in San Ramon, CA are:
What are popular job titles related to Data Science jobs in San Ramon, CA? For Data Science jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in San Ramon, CA look for? The top searched job categories for Data Science jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Science jobs? Cities near San Ramon, CA with the most Data Science job openings:
Infographic showing various Data Science job openings in San Ramon, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $137,163 per year, or $65.9 per hour.

Technical Director - Data Science (Discovery)

Roblox

San Mateo, CA • Hybrid

Other

This job post has expired today. Applications are no longer accepted.


Job description

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY DISCOVERY EXPERIENCES?

We're seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders (individual contributors with a large span of influence), you'll drive strategic decisions for user growth and product innovation, leveraging all data science toolkits (analytics, experimentation, forecasting, and ML solutions) to improve end-to-end consumer journeys on Roblox. The roles will primarily focus on Discovery Experiences. Discovery surfaces (i.e. home, search, matchmaking, notifications) are critical to fostering engagement and long-term relationships with our platform. The complex network of our two-sided marketplace, combined with the ever-evolving metaverse, presents exciting challenges.

This role will report directly into the Senior Director of Data Science (Consumer) and will be based at our headquarters in San Mateo, CA (hybrid, onsite days Tues-Thurs).

You Will:
  • Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints.
  • Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams.
  • Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.
  • Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects.
  • Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.
  • Design and implement experiments for new features and communicate results succinctly to non-technical audiences.
You Have:
  • Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields
  • 10+ years of industry experience in data science, economics, analytics, or machine learning engineering
  • 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
  • Knowledge of ML and Deep Learning either via formal training or industry experience
  • Ability to apply creative first-principles reasoning to solve ambiguous problems
  • Experience developing large-scale recommendation systems as well as experience with content platforms, specifically user-generated content