Data scientist jobs in Pacifica, CA and nearby (629 jobs)

Data scientist jobs within 25 miles of Pacifica, 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: 629
Employers: 293

Advertised starting pay

Average starting payUSD / year: $195,674Across 212 listings
Average starting payUSD / hour: $64.38Across 16 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 25%158 listings
On-site: 15%93 listings

Not specified: 60% (378 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 Pacifica, CA and nearby

Within 25 miles

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Added 1 day ago
T
Data Scientist V
TEKsystems
Menlo Park, CA
- $80 to $90 USD / hour
Data Scientist V (Product Measurement, Research & Silicon Infrastructure)
Added 1 day ago
Machine Learning Engineer (Mid-Level)
Clera
San Francisco, CA
- Build end-to-end ML pipelines, from data preprocessing through model serving and monitoring.
Added 2 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
…make real-time risk calls in a payments setting, owning the data pipelines, evaluation and metrics behind them. The role leads modeling work as an individual contributor, with room to build…
Added 2 days ago
Machine Learning Engineer
Raydar
San Francisco, CA
Added 2 days ago
DD
Sr. Data Scientist, Assay Development
DELFI Diagnostics, Inc.
Palo Alto, CA
- $130,000 to $170,000 USD / year
…advanced machine-learning methods to whole-genome sequencing data, the DELFI ("DNA EvaLuation of Fragments for early Interception") platform is built to address the highest-burden health…
Added 2 days ago
Data Scientist, Clinical Outcomes
Midi Health
Palo Alto, CA
We are looking for a pragmatic, hands-on Data Scientist to build and own the quantitative foundation for our clinical care delivery, patient treatment plan refinement, and retention engines.
Added 2 days ago
Machine Learning Scientist II, Drug Discovery Analytics
Revolution Medicines
Redwood City, CA
Added 2 days ago
O
Data Scientist, Preparedness
OpenAI
San Francisco, CA
- $265,000 to $380,000 USD / year
Added 2 days ago
Senior Pricing & Monetization Data Scientist
Fivetran
Oakland, CA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their…
Added 2 days ago
MG
Machine Learning Engineer Intern
Match Group
Palo Alto, CA
- $47 USD / hour
Added 2 days ago
MG
Data Scientist Intern
Match Group
San Francisco, CA
- $43 USD / hour
Added 3 days ago
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Sr Machine Learning Engineer
Uber
San Francisco, CA
- $202,000 to $224,000 USD / year
Added 3 days ago
U
Sr Machine Learning Engineer - Consumer Incentives
Uber
San Francisco, CA
- $202,000 to $224,000 USD / year
Added 3 days ago
I
Senior AI/Machine Learning Engineer - Python | TheLoops
IFS
Palo Alto, CA
- $170,000 to $185,000 USD / year
Added 3 days ago
Staff Machine Learning Engineer - Risk
Gusto, Inc.
San Francisco, CA
Added 3 days ago
Staff Machine Learning Engineer, AI Infrastructure
Waymo
San Francisco, CA
Added 3 days ago
Lead Bioinformatics & Machine Learning Scientist (Epigenomics)
Natera
San Carlos, CA
Natera is currently seeking a Lead Bioinformatics & Machine Learning Scientist to contribute to research and development within our Bioinformatics Research and Development team, focused on…
Added 3 days ago
Machine Learning Engineer
Reddit
San Francisco, CA
Added 3 days ago
Senior Data Scientist
Reddit
San Francisco, CA
Added 3 days ago
T
Data Scientist IV
TEKsystems
Menlo Park, CA
- $80 to $90 USD / hour
Data Scientist IV (Infrastructure & Operations Analytics)
Added 3 days ago
Senior Staff Data Scientist, Money
Intuit
OAKLAND, CA
The team is seeking a Sr. Staff Data Scientist to serve as an analytical leader & strategic thought partner across our fast money & lending products - spanning ref
Added 4 days ago
Senior Data Scientist
Acrobat Genomics
San Francisco, CA
As Senior Data Scientist, you'll lead the development of our computational platforms across multiple projects and technology areas and will work closely with our wet lab
Added 4 days ago
Senior Machine Learning Engineer
Casap
San Francisco, CA
Added 4 days ago
Digital Marketing Data Scientist
Alten Calsoft Labs
Palo Alto, CA
You will be a team member of the Digital Marketing Analytics team, working in the data sciences area, with specific focus on Digital Marketing business problems.
Added 4 days ago
Machine Learning Scientist, Biomolecular Structure Prediction
Profluent
Emeryville, CA

Databricks

Staff Machine Learning Engineer, CustomerLake (ML/LLM)

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

$190,000 - $253,400 USD

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Applications open in a new tab.

Job details

Pay: $190,000 - $253,400 USD
Experience: 10+ years of engineering experience, with a strong foundation across the full loop of shipping and improving ML/AI products
Posting language: English
Posted: Oct 29, 2026

Original job description

P-1607

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up. We're building CustomerLake, the Customer Data Platform on Databricks, to bring enterprise-grade ML and AI personalization to every company whose data already lives on Databricks. The best B2C and B2B brands have historically relied on in-house ML/AI teams to power personalization, recommendations, churn and lifetime-value modeling, and audience targeting. Our goal is to deliver that same capability to companies that don't have an in-house team but already have their data in order on Databricks. This is a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.

The impact you'll have:

Evaluate ML and LLM approaches for CustomerLake's personalization use cases, push the models and algorithms forward, and continuously improve quality over time
Go deep on how models behave in production: inspect individual traces, understand how the models reason, and tune and improve from there
Build the platform and evaluation framework that let CustomerLake customers optimize for real business value such as purchases, retention, and product usage, not vanity metrics like email opens and clicks
Push the team toward new directions and novel methods worth tackling, not just optimizing what already exists
Partner closely with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions
Set the technical foundation and best practices for our ML/AI personalization work as we grow this into several roles across our products over the next 1-2 years

What we look for:

10+ years of engineering experience, with a strong foundation across the full loop of shipping and improving ML/AI products
Hands-on experience building and evaluating ML models and/or LLM systems for real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product
Experience with personalization based on customer behavior (ideal) or transactions (acceptable), such as recommendations, targeting, churn, or lifetime-value modeling
Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands-on experience in model evaluation and monitoring AI quality in production
Familiarity with LLMs and generative AI, including techniques like retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation
A demonstrated product mindset, with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback
High ownership and bias for action in 0-to-1 environments: comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption

Nice to have:

Experience in martech, ideally a go-to-market or business use case with an analytical (rather than purely transactional) angle
An academic or research background that can help us innovate and develop novel methods

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$190,000 - $253,400 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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More about this job

Skills

Machine learning
ML
Databricks
Team building
Python
PyTorch
Research

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