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Data Scientist Startup Jobs in California (NOW HIRING)

... startup environment • Experience interacting with MongoDB databases • Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related ...

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 ...

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 ...

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he ... We are a startup, and we are founded, funded, and led by veterans of the industry. We think and ...

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he ... We are a startup, and we are founded, funded, and led by veterans of the industry. We think and ...

Data Scientist

San Francisco, CA · On-site

$110 - $150/hr

Data Scientist OpenArt is an AI Storytelling and Visual Creation Platform used by millions ... Experience as the first or early DS hire at a startup. * Experience working with consumer products ...

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... 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

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... Experience as the first or early DS hire at a startup * Experience working with consumer products ...

Data Scientist

San Francisco, CA · On-site

$150 - $190/hr

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?

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?

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Role Overview As a Senior Data Scientist, you will be responsible for the end-to-end lifecycle of ...

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics ... Prior experience in a startup environment and a desire to make a significant impact.

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 ...

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 ...

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 ...

Data Scientist

San Francisco, CA · On-site

$210 - $330/hr

We're looking for someone who has been a great data scientist, analytics engineer, or data engineer ... Early‑stage startup experience. Why This Role * Set the standard for the industry - the team is ...

New

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 ...

Data Scientist

San Francisco, CA · On-site

$140 - $260/hr

As a Data Scientist, you will map every human and AI interaction to help brands turn AIs into their ... Comfortable in a fast‑moving, high‑performance startup environment Location This is an ...

New

Senior Data Scientist, Risk Location: Palo Alto, CA Employment Type: Full time Location Type ... Comfortable working in a fast‑paced startup environment where collaboration and flexibility are ...

New

Role Overview We're hiring a Data Scientist to help architect the intelligence layer of Arch . You ... YC startup experience. Previously built wildfire response systems that save lives. Obsessed with ...

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Showing results 1-20

Data Scientist Startup information

See California salary details

$37K

$121.1K

$193.9K

How much do data scientist startup jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data scientist startup in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What does a data scientist do at a startup?

A Data Scientist at a startup typically wears many hats, leveraging data to drive business decisions, build predictive models, and develop data-driven products. Unlike in larger companies, startup Data Scientists often work closely with other teams, handle end-to-end data pipelines, and may even take on responsibilities like data engineering or analytics. The fast-paced environment requires adaptability, strong problem-solving skills, and the ability to quickly turn raw data into actionable insights that can have a direct impact on the company's growth.

What is the difference between Data Scientist Startup vs Data Analyst?

AspectData Scientist StartupData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL
Work EnvironmentFast-paced startup setting, cross-functional teams, innovative projectsCorporate or business environment, reporting and visualization tasks
Employer & Industry UsageTech startups, e-commerce, SaaS companiesFinancial firms, marketing agencies, retail companies

In summary, Data Scientist Startup roles focus on advanced analytics, machine learning, and building predictive models, requiring stronger technical skills and often a higher level of education. Data Analysts typically handle data reporting, visualization, and basic analysis, with a focus on interpreting existing data for business insights. Both roles are essential but differ in complexity and scope within startup environments.

What are the key skills and qualifications needed to thrive as a data scientist in a startup?

To thrive as a Data Scientist in a startup, you need a solid foundation in statistics, data analysis, and programming (often Python or R), usually backed by a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning libraries (like scikit-learn, TensorFlow), cloud platforms (such as AWS or GCP), and data visualization tools (such as Tableau or Power BI) is typically required. Strong problem-solving skills, adaptability, and the ability to communicate complex findings to non-technical stakeholders are essential soft skills. These competencies are crucial in a startup environment, where rapid iteration, cross-functional collaboration, and translating data insights into actionable business strategies are key to driving growth and innovation.

What unique challenges might a data scientist face when working at a startup compared to a larger company?

At a startup, Data Scientists often work with limited resources, less historical data, and rapidly changing business priorities. This means you'll likely wear multiple hats—handling data collection, cleaning, modeling, and sometimes even deploying solutions on your own. The pace is fast, and you'll need to adapt quickly to shifting objectives while collaborating closely with engineers, product managers, and founders. However, this environment also offers significant opportunities to make a direct impact and gain broad experience across the data science pipeline.
What cities in California are hiring for Data Scientist Startup jobs? Cities in California with the most Data Scientist Startup job openings:
Infographic showing various Data Scientist Startup job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Research Data Scientist

Swayable

San Francisco, CA • On-site

Full-time

Re-posted 19 days ago


Job description

Job Summary:
Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. As a Research Data Scientist, you will conduct data science research, develop tools for insights in experimental data, and communicate findings to support major organizations.
Responsibilities:
• Conduct data science research to push our experimental methodologies to the bleeding edge of social science
• Develop robust tools to uncover insights in experimental data
• Prototype data science improvements to core platform features
• Communicate the results of data science investigations to both internal and external stakeholders
Qualifications:
Required:
• Fluency in the python data science stack
• Expertise in statistical, analytical, and data science methods
• Excellent communication and data visualization skills
• Ability to work independently, prioritizing multiple important tasks/deadlines
• A keen eye for the 20% of effort that delivers 80% of the results
• Being a flexible team player whose values align with ours
Preferred:
• Experience writing and reviewing production-quality python code.
• Experience working in a fast-moving startup environment
• Experience interacting with MongoDB databases
• Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field.
Company:
Swayable is a creative testing platform that measures persuasion. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.