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Data Science Startup Jobs in California (NOW HIRING)

Wayve

Senior Data Scientist

Sunnyvale, CA · On-site

$209K/yr

Proficient in using a statistical scripting language and data science/ML packages (e.g. python such ... company or startup. This role is a full-time role based in Sunnyvale, CA (hybrid) and the ...

Wayve

Senior Data Scientist

Sunnyvale, CA · On-site

$209K/yr

Proficient in using a statistical scripting language and data science/ML packages (e.g. python such ... company or startup. This role is a full-time role based in Sunnyvale, CA (hybrid) and the ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Brigit

Senior Data Scientist

San Francisco, CA · On-site

$175K - $200K/yr

Advanced degree in data science, statistics, computer science, or related field. * Proven expertise ... Experience building classification and prediction models, testing them in a startup environment and ...

Federato Technologies

Data Scientist

San Francisco, CA · 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 ...

Federato Technologies

Data Scientist

San Francisco, CA · 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 ...

Brigit

Lead Data Scientist

San Francisco, CA · On-site

$185K - $225K/yr

Advanced degree in data science, statistics, computer science, or related field. * Proven expertise ... Experience building classification and prediction models, testing them in a startup environment and ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Arch

Data Scientist

San Francisco, CA · On-site

... experience in data science, ML engineering, or analytics roles in fast-paced environments ... YC startup experience. Previously built wildfire response systems that save lives. Obsessed with ...

Wayve

Staff Data Scientist

Sunnyvale, CA · On-site

$276K/yr

Proficient in using a statistical scripting language and data science/ML packages (e.g. python such ... company or startup. This role is a full-time role based in Sunnyvale, CA (hybrid) and the ...

HappyRobot Inc

Data Scientist

San Francisco, CA · On-site

Must Have * 4+ years of experience in Data Science, Product Analytics, or another highly ... Prior experience in a fast-growing startup or other highly ambiguous environment. Why join us?

Mithrl

Data Scientist, Knowledge Graphs

San Francisco, CA · On-site

$150K - $200K/yr

Strong experience in data science, bioinformatics, computational biology, or a related field ... Prior experience in a tech bio startup or scientific software environment WHAT YOU WILL LOVE AT ...

Brilent

Senior NLP Scientist/Engineer

San Mateo, CA · On-site

Company Description Brilent is a data science tech company developing a SaaS solution to help ... WHY US? Brilent is a well-funded, award winning startup located in the Silicon Valley. We are ...

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All JobsData Science Startup JobsData Science Startup Jobs in California

Data Science Startup information

What is a data science startup?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in a data science startup, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What are the most commonly searched types of Data Science Startup jobs in California?

The most popular types of Data Science Startup jobs in California are:

What job categories do people searching Data Science Startup jobs in California look for?

The top searched job categories for Data Science Startup jobs in California are:

What cities in California are hiring for Data Science Startup jobs?

Cities in California with the most Data Science Startup job openings:

Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Data Scientist

Wayve

Sunnyvale, CA • On-site

$209K/yr

Full-time

Re-posted 12 days ago

Job description

The Role
As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.
This means you might:
  • Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
  • Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
  • Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements
About you
Essential:
  • 3+ years experience working in a Data Science role.
  • Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
  • Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
  • Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
  • Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
  • Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
  • Track record of influencing team direction through your findings
  • A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
  • Comfortable working asynchronously across time zones with cross-functional partners
  • You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.
Desirable:
  • Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.
  • Track record of promoting statistical rigour and experimental best practices in your prior roles.
  • Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
  • Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
  • Experience working in a fast-moving tech company or startup.

This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

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