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Data Science Startup Jobs in Ohio (NOW HIRING)

CHECK24 Services GmbH

Wir sind Marktführer und dynamisches Startup in einem. In agilen Teams treffen wir schnelle ... und Data Scientists. Unter der Anwendung neuester Technologien (z.B. KI) übernimmst Du ...

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Cheez

Product Manager @ Social app startup

Toledo, OH · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

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All JobsData Science Startup JobsData Science Startup Jobs in Ohio

Data Science Startup information

See Ohio salary details

$21.5K

$103.2K

$192.4K

How much do data science startup jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science startup in Ohio is $103,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,562.00 and $143,517.00 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.

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

The most popular types of Data Science Startup jobs in Ohio are:

What job categories do people searching Data Science Startup jobs in Ohio look for?

The top searched job categories for Data Science Startup jobs in Ohio are:

Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $103,188 per year, or $49.6 per hour.

Data Engineer - Joint Venture Consulting Firm - Up to $200,000 + Performance Bonus

Saragossa

Columbus, OH • On-site

$107K - $128K/yr

Other

Posted 14 days ago

Job description

You are joining one of the most credible new ventures in quantitative finance before it becomes a household name.


This company is what happens when a global leader in management consulting, part of an NYSE listed professional services firm, joins forces with a highly respected global macro hedge fund. This is not a startup built on a pitch deck. It is a joint venture backed by institutional weight on both the consulting and the buy side, but structured so that early technical hires have real autonomy and real ownership.


You come in on the ground floor. The decisions being made around you carry serious financial consequence, and you are close enough to see and shape them from day one.


Day to day, you are designing and building the data pipelines and platforms that feed advanced analytics and modeling for the firm's clients. You work closely with data scientists, consultants, and clients directly, making sure data is available, reliable, and high quality enough to support real decision-making. This is not a role where engineers sit behind a wall of project managers. You represent the technical function in the room.


You bring 3 to 6 years of experience as a data engineer, with a track record of designing and building data intensive applications and pipelines. You write clean, performant Python and SQL to handle large volumes of data, and you have exposure to some combination of distributed computing tools like Spark or Databricks, cloud platforms such as AWS, Azure, or GCP, orchestration tools like Airflow, and modern engineering practices including version control, CI/CD, and infrastructure as code.


You hold a degree in Computer Science or a quantitative field, ideally from a top ranked university, with a minimum 3.3 or equivalent.


This would be a great next move if you want to skip the slow lane and get close to where financial decisions actually get made.


Ready to build something that matters from the start?


Get in touch.


No up-to-date CV required.

Apply