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Data Science Startup Jobs in California (NOW HIRING)

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 ...

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

Data Scientist

San Francisco, CA · On-site

$300K - $400K/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 ...

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 ...

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 ...

... science libraries and machine learning frameworks * Familiarity with data harmonization, metadata standards, ontologies, or research data repositories * Experience working in fast-paced startup ...

Required : • 5+ years of professional experience in Data Science, Machine Learning Engineering ... stage startup environment. Company : TENEX.AI is a cybersecurity company that combines human ...

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

... 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 ...

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 ...

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and ... Prior work in a startup or high-growth environment. Salary Range Knit Health offers a competitive ...

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 ...

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

Drive strategic data science initiatives that directly impact business outcomes, working closely ... Comfortable working in a fast-paced startup environment where collaboration and flexibility are ...

Drive strategic data science initiatives that directly impact business outcomes, working closely ... Comfortable working in a fast-paced startup environment where collaboration and flexibility are ...

Drive strategic data science initiatives that directly impact business outcomes, working closely ... Comfortable working in a fast-paced startup environment where collaboration and flexibility are ...

Showing results 21-40

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 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:
Infographic showing various Data Science Startup job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Scientist

$115K - $180K/yr

Full-time

Posted 25 days ago


Job description

The Opportunity:

Vianai is looking for an experienced Data Scientist who will build and train our next generation AI platform. Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he should be as excited as we are to create human-centered AI products poised for rapid growth and continued success.

Expectations:

  • You will be part of our ML/Data Science and Engineering teams focused on building and training robust and interactive machine learning applications.
  • You will collaborate with a diverse team of designers, developers, engineers and data scientists from around the globe.
  • You have strong mathematical, analytical, and quantitative problem solving abilities.
  • You can effectively communicate and present your work in a clear and simple manner as a strong team player.

Qualifications:

  • M.S. in Computer Science, Applied Mathematics, Statistics or related field.
  • Proven track record of developing novel learning algorithms/systems.
  • 3-5 years of experience in statistical modeling, machine learning, or data mining practices.
  • Experience with Machine/Deep Learning software packages such as TensorFlow/MXNet/SparkML/R etc.
  • Ability to visualize data and present core insights in a clear and compelling way.
  • Ability to multi-task, express creativity, and rapid prototype in an agile development environment.
  • Excellent communication and teamwork skills.

Preferred Qualifications:

  • Ph.D. in Computer Science, Applied Mathematics, Statistics or related field
  • Hands on experience on full stack JavaScript web application development.
  • Familiar with data stack applications like SQL Database, Data warehouse, Kafka etc.
  • Knowledge in Business Intelligence and tools like Tableau.

Who We Are:

We are a team of engineers, designers, doers, makers, and thought leaders. We are also sisters and brothers, fathers and mothers, partners and friends. We are curious and creative, confident and humble and we have a passion for what's next. We believe that when used to amplify our humanity, our technology has the power to do good in the world.

While Vianai is a part of each one of us, it isn't all of us.

Our company is founded on a culture of trust, empowerment, and respect. We bring our whole self to work - the non-perfect, messy, sometimes imposter, sometimes expert, sometimes vulnerable, and sometimes superhuman self that contributes to what we believe in. We are committed to advancing inclusion, equity and diversity because we believe that to design more transparent and beneficial AI systems, we need architects of all types. And to us, the more perspectives the better.

Vianai has deep expertise in enterprise technologies and landscapes, business application development, engineering services, design thinking, and cutting-edge AI research. We are a startup, and we are founded, funded, and led by veterans of the industry. We think and work like entrepreneurs, but we've brought a wealth of experience and expertise that is deeply relevant to our mission and the market opportunity.

About Vianai:

Vianai is a Human-Centered AI platform and products company amplifying the power of human understanding and collaboration together with advanced AI techniques, to drive transformation. Vianai's unique human-centered approach empowers data professionals and domain experts to leverage causal data science, drive deeper intelligence into decision making and improve business outcomes. Vianai customers include many of the world's largest and most respected companies in manufacturing, financial services, retail, and aerospace and defense, among many others. The company is headquartered in Palo Alto, California, and has an R&D center in Israel.

Employment Type: FULL_TIME