Data scientist jobs in Berkeley, CA and nearby

Data scientist jobs within 25 miles of Berkeley, CA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 1, 2026

Hiring at a glance

View jobs

Open jobs: 538
Employers: 250

Advertised starting pay

Average starting payUSD / year: $198,944Across 181 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 25%133 listings
On-site: 17%93 listings

Not specified: 58% (312 listings)

Employers hiring include Waymo (30), OpenAI (16), Uber (16).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Berkeley, CA and nearby

Within 25 miles

Save this search

Added 5 days ago
Machine Learning Engineer
Raydar
San Mateo, CA
…learning models for a software product, owning the work from raw data preparation through to live operation. Collaborate with colleagues across functions to turn product ideas into shipped…
Added 5 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 5 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 5 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
- Build and train models that reason over several types of technical data, including imag
Added 5 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
…services and applied machine learning. The role involves building data processing and retrieval systems and taking models into secure production environments, with broad ownership of how…
Added 5 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
…development with applied machine learning to produce dependable, data-driven product capabilities. The work involves close customer contact, independent technical and product judgment, and…
Added 5 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 5 days ago
Founding Machine Learning Engineer
Raydar
San Francisco, CA
Added 5 days ago
SH
Senior Machine Learning Engineer I, AI & ML Platform
Spring Health
San Francisco, CA
- $183,000 to $205,000 USD / year
Added 5 days ago
S
Machine Learning Engineer
Superhuman
San Francisco, CA
- $250,000 to $385,000 USD / year
Added 7 days ago
Lead Data Scientist
DoorDash
San Francisco, CA
The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the…
Added 8 days ago
Machine Learning Engineer 4 - Machine Learning Foundations (MLX)
Capital One
San Francisco, CA
Added 8 days ago
Machine Learning Engineer 4 - Machine Learning Experiences (MLX)
Capital One
San Francisco, CA
Added 8 days ago
U
Sr Staff Machine Learning Engineer- Consumer Incentives
Uber
San Francisco, CA
- $267,000 to $297,000 USD / year
Added 8 days ago
U
Sr Machine Learning Engineer
Uber
San Francisco, CA
- $202,000 to $224,000 USD / year
…Uber’s profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing in both real-time and offline systems, including…
Added 8 days ago
U
Staff Machine Learning Engineer
Uber
San Francisco, CA
- $232,000 to $258,000 USD / year
…Uber’s profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing in both real-time and offline systems, including…
Added 8 days ago
Business Data Scientist, YouTube Ads, Finance Revenue Analytics and Forecasting
Google
San Bruno, CA
Share Business Data Scientist, YouTube Ads, Finance Revenue Analytics and Forecasting
Added 8 days ago
Payer Healthcare Data Scientist, Director
PwC
San Francisco, CA
As a Payer Healthcare Data Scientist you will lead data science efforts within our Advisory practice, focusing on payer modernization work that improves core operations, platform execution,…
Added 9 days ago
O
Product Data Scientist - Youth, Families and Learning
OpenAI
San Francisco, CA
- $401,000 to $510,000 USD / year
We’re looking for a product data scientist to help OpenAI create more value and drive sustainable growth for young people, families, and learners. You’ll drive product data science across…
Added 9 days ago
O
Machine Learning Data Scientist - Consumer Forecasting
OpenAI
San Francisco, CA
- $347,000 to $445,000 USD / year
…Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class…
Added 9 days ago
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Senior Data Scientist
BetterUp
San Francisco, CA
- $180,000 to $225,000 USD / year
Added 9 days ago
Senior Machine Learning Engineer, Simulation
Waymo
San Francisco, CA
Added 9 days ago
Staff Data Scientist, Marketing Analytics
Chime Financial, Inc
San Francisco, CA
Added 9 days ago
Senior Machine Learning Engineer, Scenes, Traffic Controls
Waymo
San Francisco, CA
Added 9 days ago
M
Data Scientist, Product Analytics, XBOX Growth
Microsoft
San Francisco, CA
- $102,100 to $219,200 USD / year
XBOX Growth Intelligence is seeking a Data Scientist, Product Analytics to partner with Product, Engineering, and cross-functional business owners to improve XBOX experiences through…

Uber

Sr Machine Learning Engineer

Sunnyvale, CA, United States
San Francisco, CA, United States
New York City, NY, United States

$202,000 to $224,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $202,000 to $224,000 USD / year
Experience: Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 5+ years of full-time engineering experience.
Posting language: English
Posted: Oct 26, 2026

Original job description

About the Role Uber Marketplace is at the heart of Uber’s business, with Rider Pricing playing a critical role by setting prices and targeting promotions for Uber riders. Our team’s mission is to drive revenue growth, ridership growth and Uber’s profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing in both real-time and offline systems, including baseline trip pricing and targeted discounts. The Rider Pricing team is a fast-moving, high-opportunity space where you’ll have the chance to make a significant impact on the business. On this team, your work will affect over 95% of Uber’s mobility business revenue. You’ll take ownership of one key pillar of the rider pricing domain and lead the technical direction for improving our pricing algorithms, optimization algorithms and models. You will work across ML, serving, and optimization system components, and set technical direction for modeling best practices across model building, evaluation and deployment. In this role, you'll apply advanced machine learning technologies, including deep learning, generative AI for causal modeling, representation learning and personalization, to optimize Uber’s pricing. You will also work with serving infrastructure and product teams to design and evolve the rider pricing systems to support new product and algorithm evolutions and drive Uber’s top-line rider and revenue growth. What You’ll Do

Take a lead on pricing ML and optimization problems, by developing and implementing new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs.
Improve the performance of models and algorithms powering pricing algorithms and promotion targeting.
Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.
Mentor more junior team members by role modeling ML best practices. Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth. Help Uber’s end-users by making mobility options accessible and affordable.

Basic Qualifications

Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 5+ years of full-time engineering experience.
Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go).
Experience with machine learning and optimization algorithms.

Preferred Qualifications

PhD in Computer Science, Engineering, Mathematics, or a related field, with 2+ years of full-time engineering experience.
Experience solving complex business problems by translating them into machine learning and optimization solutions.
Familiarity with large-scale data systems (e.g., Spark, Hive) and experience building production-ready algorithmic systems.
Strong background in deep learning, generative AI, causal modeling, and reinforcement learning.

For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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More about this job

Skills

Machine learning
ML
Deep learning
Computer science
Programming languages
C
C++
Oracle Java
Python
Go
Apache Spark
Apache Hive
Collaboration

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