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Data Science Startup Jobs in Indiana (NOW HIRING)

Cheez

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

Cheez

Product Manager @ Social app startup

Hammond, IN · 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

Cheez

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

Cheez

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

Cheez

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

Cheez

Product Manager @ Social app startup

Gary, IN · 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

Cheez

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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Data Science Startup information

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$105.8K

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How much do data science startup jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science startup in Indiana is $105,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,902.00 and $147,177.00 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 Indiana?

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

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

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

Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Indiana 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 $105,819 per year, or $50.9 per hour.

Senior Software Engineer for Medical Device Startup

Levisonics, Inc.

Fishers, IN • On-site

$115K - $152K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 23 days ago

Job description

About Us:
We are a dynamic and innovative medical device startup developing a point-of-care portable blood coagulation testing device. Our full-time team currently comprises a CEO/Biomedical Engineer, and an Electrical Engineer.
Job Summary:
We are seeking a talented and experienced Senior Software Engineer to join our team and lead the development and optimization of software workflows for our innovative acoustic tweezing technology-based medical devices. The ideal candidate will have a Master's degree in Computer Science, Software Engineering, or a related field, with a minimum of 5 years of experience. This role requires strong coding skills in Python and C/C++, proficiency in developing intuitive and visually engaging graphical user interfaces, and expertise in SQL for effective data management and database design. Experience with version control systems, particularly Git, is essential, along with the ability to understand and generate code from workflow diagrams. As the first and only software engineer on the team, you will play a pivotal role in shaping the software development efforts for our groundbreaking technology. This role is critical to the success of our product and involves working on multiple federal grants and projects.
Startup Environment:
We operate in a fast-paced startup environment where innovation, adaptability, and a proactive mindset are key to success. We are looking for individuals who are passionate about working in a startup setting and thrive in dynamic and challenging situations. We value individuals who are not just seeking a job but are driven by a genuine passion for creating impactful solutions and driving change in the medical device industry. Our team members are expected to work well under pressure, juggle multiple projects, and be flexible in their roles as the needs of the company evolve. If you are excited about the opportunity to make a meaningful impact and are ready to roll up your sleeves and tackle challenges head-on, we encourage you to apply.
Key Responsibilities:
  1. Optimize and Enhance Existing Software:
  • Improve the efficiency of our existing software written in Python.
  • Increase processing speed for short-term operation on laptops.
  • Convert and optimize the software for embedded computing devices inside the medical device long-term.
  1. Software Packaging and Security:
  • Secure the code to prevent reverse engineering.
  • Package the software into executable files for easy installation and deployment.
  1. Connectivity and Data Management:
  • Ensure the software can connect to the internet.
  • Implement connectivity to an online database for long-term data management.
  • Incorporate Data Science, Machine Learning, and AI for handling large amounts of health data.
  1. Health Data Security:
  • Ensure the highest level of security for software and health data management.
  1. New Technique Development:
  • Convert and develop existing crude MATLAB codes and technology algorithms into efficient software for commercial use.
  • Create executable files with efficient large data handling capabilities.
  • Develop complex data processing software and manage large data analysis.
  • Develop a user-friendly interface for healthcare professionals.
  • Implement a remote kill switch for the software.
  • Apply all relevant requirements from existing software.
  1. Parallel Processing and Language Conversion:
  • Implement efficient parallel processing techniques.
  • Convert existing Python code to C/C++ or another suitable low-level efficient language to run software optimally on embedded hardware.
  1. Other Responsibilities:
  • Develop high-quality, efficient, and maintainable code.
  • Design intuitive and visually engaging user interfaces.
  • Proactively take on new responsibilities and suggest innovative ideas for product and company growth.
  • Participate in grant writing and fundraising activities.
  • Engage in FDA-related activities and adhere to quality protocols.
  • Perform other relevant software-related tasks as needed for the company.

Minimum Qualifications:
  • Master's degree in Computer Science, Software Engineering, or a related field.
  • Minimum of 5 years of experience in software development.
  • Strong coding skills in Python, C, and C++ (JavaScript is a plus).
  • Proficiency in developing intuitive and visually engaging graphical user interfaces.
  • Proficiency in SQL for effective data management and database design.
  • Experience with version control systems, particularly Git.
  • Ability to understand and generate code from workflow diagrams.
  • Knowledge of integrating multiple devices and establishing centralized control.
  • Familiarity with IDEs, preferably PyCharm.
  • Excellent problem-solving skills and ability to work independently.
  • Strong written and verbal communication skills.

Preferred Qualifications:
  • Experience working in the medical device industry.
  • Familiarity with Agile development methodologies.
  • Knowledge of machine learning techniques and algorithms.
  • Experience with Docker and containerization technologies.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Prior experience working in startups.
  • Experience with embedded systems and medical device software development.
  • Strong knowledge of data security, especially related to health data.
  • Knowledge of parallel processing and algorithm optimization.
  • Innovative mindset with a track record of proactive contributions.
  • Experience in grant writing and regulatory compliance (FDA).

What We Offer:
  • Competitive salary
  • Health, dental, and vision insurance coverage
  • Generous paid time off
  • Professional development opportunities
  • Potential to receive stock options
  • Opportunities for growth within the company
  • Flexible work arrangements, including remote work options
  • Dynamic and innovative startup environment
  • Opportunity to make a meaningful impact in the medical device industry

Apply