ZipRecruiter

Log In

1

Data Scientist Startup Jobs (NOW HIRING)

Brilent

Senior Data Scientist

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 ...

Sustainment

Data Scientist

Austin, TX · On-site

They are seeking a Data Scientist to lead data-heavy projects, build predictive models, and enhance ... Series A/B startup environment Company : We build software to transform how commercial and ...

New

Adelaide Metrics, Inc.

Data Scientist

$135K - $145K/yr

What began as a 9-person startup in 2019 is now a team of more than 75. The past year brought ... Position overview This position reports to the Director of Data Science; it will help to continue ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

The Principal Data Scientist will drive innovation across the full lifecycle of AI/ML initiatives ... Comfortable working in Agile teams and navigating ambiguity in startup environments. * Builds and ...

Partiful

Data Scientist

New York, NY · On-site

$150K - $190K/yr

The Role We're looking for a business-oriented data scientist to help us unlock the full value of ... startup; experience in consumer is preferred but not required * Fluency in SQL and Python ...

Capital One

Principal Data Scientist

Mclean, VA · On-site

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...

Capital One

Principal Data Scientist

New York, NY · On-site

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...

Capital One

Principal Data Scientist

Mclean, VA · On-site

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...

Capital One

Principal Data Scientist

New York, NY

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...

Capital One

Principal Data Scientist

Mclean, VA · On-site

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

The Principal Data Scientist will drive innovation across the full lifecycle of AI/ML initiatives ... Comfortable working in Agile teams and navigating ambiguity in startup environments. * Builds and ...

Capital One

Principal Data Scientist

Mclean, VA · On-site

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · On-site

$48 - $62/hr

The Principal Data Scientist will drive innovation across the full lifecycle of AI/ML initiatives ... Comfortable working in Agile teams and navigating ambiguity in startup environments. * Builds and ...

Highbeam, Inc

Data Scientist

New York, NY · On-site

$200K - $225K/yr

This role blends data science, customer analytics, financial analysis, and market insights to ... Chance to join the founding team of a well-funded startup chasing a huge opportunity * Competitive ...

Sustainment

Data Scientist

Austin, TX

We are looking for a Data Scientist who operates at the frontier of that data: collecting it ... Experience working in a Series A/B startup environment Sustainment offers a competitive benefits ...

New

Capital One

Principal Data Scientist

Richmond, VA · On-site

As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ...

HeyGen

Data Scientist

San Francisco, CA · On-site

$170K - $220K/yr

... startup. This is a highly dynamic, fast-paced environment where you'll be trusted with real ... experience in Data Science, Business Intelligence, Product Analytics, or a related function

next page

Showing results 1-20

All JobsData Scientist Startup Jobs

Data Scientist Startup information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist startup jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data scientist startup in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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, and why are they important?

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.
More about Data Scientist Startup jobs
What cities are hiring for Data Scientist Startup jobs? Cities with the most Data Scientist Startup job openings:
What states have the most Data Scientist Startup jobs? States with the most job openings for Data Scientist Startup jobs include:
What job categories do people searching Data Scientist Startup jobs look for? The top searched job categories for Data Scientist Startup jobs are:
Data Scientist Startup jobs near you
Infographic showing various Data Scientist Startup job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist

Senior Data Scientist

Brilent

San Mateo, CA • On-site

Full-time

Medical, Dental

Posted 6 days ago

Job description

Company Description
Brilent is a data science tech company developing a SaaS solution to help recruiters quickly and effectively identify the right talent to hire. The Brilent team brings together deep experience in machine learning, and data science from leading edge companies to solve the growing problem of leveraging big data to effectively identify and connect with the right talent. With the Brilent solution, pre-screening candidates take minutes as opposed to hours or days thus shortening the time-to-hire, and increasing the number of candidate placements.
WHY US?
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. We are looking for exceptional people to scale our business and build innovative web and mobile products. Come join the revolution!
Job Description
Responsibilities
  • Develop models and algorithms that are part of our core technology
  • Perform large-scale data analysis, find interesting patterns and translate them into product improvements
  • Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
  • Collaborate with engineers to implement and deploy scalable solutions
  • Provide thought leadership and influence the direction of the business by effectively communicating results and actionable insights to cross-functional groups

Qualifications
  • MS/PhD in computer science, statistics, or operations research or related technical discipline
  • Deep knowledge of machine learning, statistics, optimization or related field
  • Proficient in SQL, R, Python or Java
  • Excellent written and verbal communication skills
  • Attitude to thrive in a fun, fast-paced start-up environment

Additional Information
We offer competitive salaries, stock options, and full benefits, including health and dental coverage, all meals included, snacks, travel reimbursement, etc.

Apply