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Data Science Startup Jobs (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

About DEUNA DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

DEUNA

Data Science intern

San Francisco, CA

About DEUNA DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

LHi Group Ltd

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

... Startup or hypergrowth company experience Experience with large-scale data systems Strong people ... established data science team Work across machine learning, modeling and production systems ...

Bet365

Data Science Team Lead/Manager

Denver, CO · On-site

We are intentionally recruiting for a specific kind of professional: someone with a startup mindset ... Data Science team. Main Responsibilities: • In this hands-on role you will devise, code, and ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ... data science, or math * Experience or strong interest in any of the following: natural language ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ... data science, or math * Experience or strong interest in any of the following: natural language ...

Capital One

Senior Associate, Data Science

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

Senior Associate, Data Science

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

Senior Associate, Data Science

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

Senior Associate, Data Science

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 ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...

Swayable

Research Data Scientist

San Francisco, CA · On-site

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

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Data Science Startup information

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How much do data science startup jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data science startup in the United States is $112,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $157,000.00 per year, depending on experience, location, and employer.

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.

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What cities are hiring for Data Science Startup jobs?

Cities with the most Data Science Startup job openings:

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

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Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in the United States 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 $112,882 per year, or $54.3 per hour.

Data Science intern

DEUNA

San Francisco, CA • On-site

Temporary

Re-posted 15 days ago

Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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