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Data Science Startup Jobs in California (NOW HIRING)

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of ... Comfortable working in Agile teams and navigating ambiguity in startup environments. * Builds and ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of ... Comfortable working in Agile teams and navigating ambiguity in startup environments. * Builds and ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training ... We are a startup, and we are founded, funded, and led by veterans of the industry. We think and ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · On-site

$48 - $62/hr

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 4 years of ... Comfortable working in Agile teams and navigating ambiguity in startup environments. * Builds and ...

Vianai Systems

Data Scientist

Palo Alto, CA

You will be part of our ML/Data Science and Engineering teams focused on building and training ... We are a startup, and we are founded, funded, and led by veterans of the industry. We think and ...

OpenArt

Data Scientist

San Francisco, CA · On-site

$160K - $180K/yr

... science practice. * Direct impact on product strategy - your work shapes what we build, how we ... Experience as the first or early DS hire at a startup * Experience working with consumer products ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/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 ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

Company Description Brilent is a well-funded, award winning startup located in the Silicon Valley ... Our team consists of machine learning and data science experts and recruiting veterans from leading ...

Embedding VC

Data Scientist

Redwood City, CA · On-site

... science practice. * Direct impact on product strategy - your work shapes what we build, how we ... Experience as the first or early DS hire at a startup * Experience working with consumer products ...

Quantifind

Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

... science to solve mission critical problems. You are excited to work at a fast-paced startup where ... Quantifind is a data science technology company whose AI platform uncovers signals of risk across ...

Quantifind

Associate Data Scientist

Palo Alto, CA

$69K - $69K/yr

... science to solve mission critical problems. You are excited to work at a fast-paced startup where ... Quantifind is a data science technology company whose AI platform uncovers signals of risk across ...

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All JobsData Science Startup JobsData Science Startup Jobs in California

Data Science Startup information

What is a Data Science Startup job?

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 the Data Science Startup position, 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 are popular job titles related to Data Science Startup jobs in California? For Data Science Startup jobs in California, the most frequently searched job titles 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 June 2026, with employment types broken down into 100% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.
Basketball Data Scientist

Basketball Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Posted yesterday

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Bachelor's degree in Data Analytics, Data Science, Computer Science or related technical subject area; Masters highly preferred
  • Demonstrated experience developing models at production scale for Basketball or sports betting
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • Minimum of 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $130,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NBA Team Locations San Francisco, CA - Remote Remote status Fully Remote

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