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

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Role We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across ...

At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year and continue to iterate and optimize ...

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

The Opportunity As Director, Data Science , you will lead the data science strategy and team for a core product in our AI-native suite that works everywhere our customers work-powering agentic ...

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...

Data Science Manager

San Francisco, CA · On-site

$251K - $376K/yr

We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our business: Treatment Experience and Hinge Select. In this role, you will own the data roadmap for our ...

Data Science Engineer

San Francisco, CA

$134K - $162K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This ...

Data Science Engineer

San Jose, CA

$134K - $161K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This ...

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data scientists and data science leaders across North America and Europe. * Apply your expertise in quantitative ...

Data Science Engineer

San Jose, CA

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant ...

Showing results 21-40

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.

Manager, Data Science

DoorDash

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


DoorDash rating

6.5

Company rating: 6.5 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

12th of 24 rated food delivery companies


Job description

About the Team
Merchant Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. We work across some of DoorDash's most important merchant and marketplace priorities, building the measurement, insights, and decision frameworks that improve outcomes for merchants and drive company impact.
About the Role
We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into Director, Data Science on our Merchant Analytics team in our Analytics organization.
You're excited about this opportunity because you will...
  • Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash's most important product, business, and GTM priorities.
  • Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics.
  • Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes.
  • Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment.
  • Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time.
We're excited about you because...
  • You have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
  • You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation.
  • You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact.
  • You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions.
  • You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership.
  • You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
Compensation
The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future.
In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
To learn more about our benefits, visit our careers page here.
See below for paid time off details:
  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay range for this position within the United States, including Illinois and Colorado.
$184,300-$271,000 USD
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.

What DoorDash employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


DoorDash logo

About DoorDash

Sourced by ZipRecruiter

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users--from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2013