Data scientist jobs in Berkeley, CA and nearby (548 jobs)

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

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 548
Employers: 249

Advertised starting pay

Average starting payUSD / year: $198,787Across 187 listings
Average starting payUSD / hour: $63.30Across 10 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 25%139 listings
On-site: 17%95 listings

Not specified: 57% (314 listings)

Employers hiring include Waymo (31), Uber (18), OpenAI (17).

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 12 days ago
L
Sr. Analytics Engineer/ Data Scientist
Laurel
San Francisco, CA
- $218,000 to $240,000 USD / year
…learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven…
Added 12 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
…that move from prototype to production, covering model work, data pipelines and the services that run them. The role suits an engineer who can take an idea through to a working, reliable…
Added 12 days ago
Data Scientist, Analytics
Crusoe
San Francisco, CA
Added 12 days ago
Senior Machine Learning Engineer
hum.ai
San Francisco, CA
Added 12 days ago
O
Applied Data Scientist, Personalization & Machine Learning
OpenAI
San Francisco, CA
- $347,000 to $445,000 USD / year
We’re looking for a data scientist who can enter an unfamiliar product area, find a useful ML application, and turn it into a working product intervention. You will own the work from…
Added 12 days ago
Machine Learning Engineer
UCSF
San Francisco, CA
The Machine Learning and Data engineer role will lead the development, implementation,
Added 12 days ago
Machine Learning Engineer - Infrastructure
Transparent Search Group
San Francisco, CA
Added 12 days ago
Senior Machine Learning Engineer
Raydar
San Francisco, CA
Added 12 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 12 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 12 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 12 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 12 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
- Build and train models that reason over several types of technical data, including imag
Added 12 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 12 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 12 days ago
Founding Machine Learning Engineer
Raydar
San Francisco, CA
Added 12 days ago
SH
Senior Machine Learning Engineer I, AI & ML Platform
Spring Health
San Francisco, CA
- $183,000 to $205,000 USD / year
Added 12 days ago
S
Machine Learning Engineer
Superhuman
San Francisco, CA
- $250,000 to $385,000 USD / year
Added 14 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 15 days ago
Machine Learning Engineer 4 - Machine Learning Foundations (MLX)
Capital One
San Francisco, CA
Added 15 days ago
Machine Learning Engineer 4 - Machine Learning Experiences (MLX)
Capital One
San Francisco, CA
Added 15 days ago
U
Sr Staff Machine Learning Engineer- Consumer Incentives
Uber
San Francisco, CA
- $267,000 to $297,000 USD / year
Added 15 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 15 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 16 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

Laurel

Sr. Analytics Engineer/ Data Scientist

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

$218,000 to $240,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $218,000 to $240,000 USD / year
Experience: Experience: 3+ years of professional experience as a Data Scientist.
Posting language: English
Posted: Oct 26, 2026

Original job description

Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform.

Our team comprises top talent in AI, product development, and engineering - innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you.

About the Role

As a Senior Analytics Engineer/Data Scientist at Laurel, you’ll turn product and business data into clear, trustworthy insights leaders can act on. You’ll own the analytics lifecycle - from ingestion and modeling to BI visualization and decision enablement. You’ll deliver self-serve insights using SQL/Python and embedded BI (e.g., ThoughtSpot). You will also help define the design patterns and data infrastructure to scale.

We’re especially interested in candidates who thrive in early-stage environments and pair analytical rigor with clear storytelling. You’ll partner closely with our CX team to quantify and communicate Laurel’s ROI, and you’ll join customer-facing presentations. You will be able to translate complex methods for non-technical leaders while going deep with technical stakeholders when needed.

What you will do

Build analyses & automation (SQL/Python)

Run recurring ROI analyses (Business Impact Reports). Write performant SQL and pandas; productionize repeatable jobs (scheduling, alerts, anomaly checks) with orchestration (e.g., Airflow).

Define metrics & model the data

Own metric definitions (e.g., True Time vs. Released), create reusable SQL Data Models that serve as the analytics source of truth.

Partner with CX on customer ROI

Quantify and communicate Laurel’s impact, prepare exec-ready materials, and join customer-facing presentations - translating for both non-technical and technical stakeholders.

Ship dashboards & actionable insights

Deliver customer-facing ThoughtSpot dashboards and turn findings into concise actionable insights

Raise data quality & instrumentation

Add validation tests and monitoring, triage data issues quickly, and collaborate with Product/Engineering to improve data quality.

Data Platform Development

Design, build, and maintain Laurel’s Analytics Data Warehouse as the single source of truth for analytics and reporting needs.
Create scalable ETL pipelines to ingest, process, and organize data from diverse sources (PMS, Web Analytics, WebApp).
Deploy and maintain Business Intelligence tools to provide analytics and reporting capabilities.

You will be a great fit if you have

Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience: 3+ years of professional experience as a Data Scientist. Ideal candidates will be comfortable working with large-scale data systems.
Technical Proficiency:
Advanced SQL and Python
Experience with data orchestration tools (e.g., Airflow, Prefect, Dagster).
Proficiency in modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
Familiarity with data modeling, warehousing principles, and BI tools (e.g., Thoughtspot, PowerBI, Tableau).
Experience With:
Cloud platform expertise (AWS, GCP, Azure).
Knowledge of dbt, Kubernetes, and Terraform.
Exposure to CI/CD pipelines and DevOps practices.
Soft Skills:
Strong problem-solving and communication skills.
Ability to work in a fast-paced startup environment and manage multiple priorities.

Nice to haves

Experience with knowledge worker productivity tools
Familiarity with modern data visualization libraries (e.g., D3.js http://d3.js)
ML and AI: Prototype, build and test ML models to quickly validate hypotheses and generate insights that guide Laurel product features

Flexibility and Logistics

Location: This role will be hybrid based in our San Francisco office, 3 days per week. We will consider exceptionally qualified candidates based in other US-locations on a case by case basis.
Compensation: Competitive salary, generous equity, comprehensive medical/dental/vision coverage with covered premiums, 401(k), additional benefits including wellness/commuter/FSA stipends. For candidates based in San Francisco the compensation range for this role is $205,000-$249,000 USD. Final compensation amounts will be determined based on several factors including candidate experience, qualifications and expertise and may vary from the amounts listed.
Visa Sponsorship: Unfortunately we are unable to provide Visa Sponsorship at this time.

WHY JOIN LAUREL:

To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian
A smart, fun, collaborative, and inclusive team
Great employee benefits, including equity and 401K
Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team
An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time

We encourage diverse perspectives and rigorous thinkers who aren't afraid to challenge the status quo. Laurel is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are not able to support visa sponsorship or relocation assistance.

If you think you'd be a good fit for this role, we encourage you to apply, even if you don’t perfectly match all the bullet points in the job description. At Laurel, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. Every day, we aim to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer!

Apply About employer

Report this job