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

Data Scientist

San Francisco, CA ยท On-site

$300K - $400K/yr

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI ...

Data Scientist

San Francisco, CA ยท On-site

$150K - $185K/yr

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 ...

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 ...

The Data Science TeamOur Impact Data is core to Parafin's mission to grow small businesses. Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us to ...

Data Scientist

San Mateo, CA ยท On-site

$180K - $250K/yr

We are looking to hire a Data Scientist to drive impactful insights and build data-driven solutions across multiple Tarro product areas. In this role, you'll analyze complex datasets, develop ...

Data Scientist

San Francisco, CA ยท On-site +1

$160K - $200K/yr

Company Description Federato Technologies is a Series A startup based in San Fransisco, CA looking to hire a data scientist. Federato is a venture backed company funded by some of the most prominent ...

The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us to ...

Data Scientist

San Francisco, CA ยท Remote

$160K - $200K/yr

Company Description Federato Technologies is a Series A startup based in San Fransisco, CA looking to hire a data scientist. Federato is a venture backed company funded by some of the most prominent ...

We are seeking an exceptional Data Scientist to lead algorithm evaluation and performance intelligence for next-generation intelligent systems. In this highly visible technical role, you will define ...

Data Scientist

San Francisco, CA ยท On-site

$200 - $235/hr

About You We are looking for a Data Scientist who can take on challenging projects across the organization, develop expertise in specific business areas, and work collaboratively with product ...

Data Scientist

San Francisco, CA ยท On-site

$170K - $216K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ...

Data Scientist

San Francisco, CA ยท On-site

$120 - $220/hr

Why We're Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a ...

Data Scientist Location: Pleasanton, CA Top Skill: Qualifications for Data Scientist Strong problem solving skills with an emphasis on product development. Experience using statistical computer ...

As a Data Scientist, you will develop models that influence pricing, user retention, and monetization strategies, while collaborating with a small quant team to drive impactful business decisions.

Data Scientist Job Location: San Francisco Job Type: Contract * 50% - Consulting with internal teams (economists, analysts) to design and implement AI solutions for their use cases * 25% - Building ...

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science ...

Showing results 21-40

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 12, 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.

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.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

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.

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 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:
Infographic showing various Data Scientist job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,163 per year, or $65.9 per hour.

Data Scientist

OpenArt

San Francisco, CA โ€ข On-site

$300K - $400K/yr

Full-time

Re-posted 8 days ago


Job description

Data Scientist
About OpenArt
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we're shaping that future.
Why Join OpenArt
  • First Data Scientist hire in the US - set the bar, shape the function, and build the foundation of OpenArt's data science practice.
  • Direct impact on product strategy - your work shapes what we build, how we prioritize, and how we measure success.
  • Work across product, engineering, data, marketing, and finance - one of the most cross-functional roles in the company.
  • Build from 0 โ†’ 1 - define how we use data to drive product decisions atOpenArt.
  • High ownership, low process, fast iteration environment.
  • 7-10X revenue growth over the past 2 years - now scaling our data and analytics infrastructure to match.

About the Role
We're looking for a Data Scientist to be our first DS hire in the US (we have a Data Analyst based in Shenzhen) and help build OpenArt's data science function from the ground up.
This role sits at the intersection of product, analytics, and experimentation -focused on turning data into product decisions that move the needle for millions of creators.
You'll work closely with cross-functional teams including Product, Engineering, Data Engineering, Marketing, and Finance. By applying your technical skills, analytical mindset, and product intuition, you will help our customers improve their creative experience and help OpenArt identify and solve product development's biggest challenges.
What You'll Do
  • Product leadership: use data to shape product development, quantify new opportunities, set goals, identify upcoming challenges, and ensure the products we build bring value to our customers.
  • Analytics: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches - different methodologies, frameworks, and technical techniques - to test them.
  • Experimentation: design, run, and analyze A/B tests and other causal experiments; help establish the experimentation culture and standards across the company.
  • Metrics and measurement: define and own key product metrics, build dashboards, and ensure leaders and teams have accurate, trusted data to make decisions.
  • User and behavioral analysis: deep-dive into how users create, share, and engage on OpenArt to surface insights that drive retention, engagement, and monetization.
  • Communication and influence: convince and influence your partners by telling clear data stories - translate complex analyses into crisp recommendations for PMs, engineers, and execs.
  • Cross-functional partnership: collaborate with Data Engineering on instrumentation and pipelines, with Product/Eng on feature design and measurement, and with Marketing/Finance on growth and revenue analytics.
  • Build the function: establish DS best practices, mentor over time, and help shape the team as it grows.

What We're Looking For
Core Requirements
  • Bachelor's or above in a quantitative discipline: Statistics, AppliedMathematics, Economics, Computer Science, Engineering, or related field
  • Minimum 3 years of work experience in analytics or data science
  • Expert SQL and strong Python skills
  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques such as regression and decision trees
  • Strong product intuition - able to connect numbers to user behavior and product decisions
  • Strong verbal and written communication skills; able to tell clear data stories to both technical and non-technical audiences
  • A humble, collaborative, can-do attitude and natural curiosity
  • High ownership, fast execution, and strong attention to detail

Nice to Have
  • Experience as the first or early DS hire at a startup
  • Experience working with consumer products, marketplaces, or creator/UGC platforms
  • Familiarity with experimentation platforms and causal inference methods
  • Experience with BigQuery, Amplitude, Metabase, or similar tools in data stack
  • Experience partnering with marketing/growth teams (LTV, retention, funnel analysis)
  • Exposure to AI/ML products or generative AI
  • Comfort working across time zones with a globally distributed team

Tech Stack You'll Work With
BigQuery, SQL, Python, Amplitude, Metabase, Stripe, GCP
Compensation
  • Competitive base salary and bonus program
  • Equity - meaningful ownership in what you build
  • High autonomy, high growth environment

Work Setup
  • Bay Area preferred (hybrid allowed)
  • Visa sponsorship available
  • We'll consider remote