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Data Science Startup Jobs (NOW HIRING)

Swayable

Research Data Scientist

Washington, DC · On-site

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

Swayable

Research Data Scientist

Manhattan, NY · On-site

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

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

... startup environment. Program Details: Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science ...

Evolver

Applied Data Science Intern

Palo Alto, CA

... startup environment. Program Details: Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science ...

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Data Science Team Leader

Denver, CO · On-site

As the Data Science Team Leader, you will be a critical part of our expanding global data ... We are intentionally recruiting for a specific kind of professional: someone with a startup mindset ...

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Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Provenexperience working in a fast-paced, agile, or startup-like environment. You must have a ...

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Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... We are intentionally recruiting for a specific kind of professional: someone with a startup mindset ...

bet365

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Provenexperience working in a fast-paced, agile, or startup-like environment. You must have a ...

Coupang

Director of Data Science

Mountain View, CA · On-site

$174K - $299K/yr

We are proud to have the best of both worlds - a startup culture with the resources of a large ... Role Overview Coupang is seeking a Director of Data Science to lead high-impact, data-driven ...

OpenFX

Data Science & Analytics Lead

Miami, FL · On-site

Role Overview We are seeking a talented Data Science & Analytics Lead to build and lead our ... Startup experience is highly preferred. * Expertise with data visualization tools like Tableau or ...

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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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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.

Research Data Scientist

Swayable

Washington, DC • On-site

Full-time

Re-posted 18 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.

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