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Data Scientist Startup Jobs in Indiana (NOW HIRING)

Lilly

Sr. Scientist - TS/MS Digital Plant

Lebanon, IN · On-site

$87K - $119K/yr

... which includes models, data systems, and process monitoring tools to support continuous ... In the project delivery and startup phase (expected 2026-2029), the Digital Plant Scientist role ...

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All JobsData Scientist Startup JobsData Scientist Startup Jobs in Indiana

Data Scientist Startup information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do data scientist startup jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data scientist startup in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 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.
What are popular job titles related to Data Scientist Startup jobs in Indiana? For Data Scientist Startup jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Scientist Startup jobs in Indiana look for? The top searched job categories for Data Scientist Startup jobs in Indiana are:
Data Scientist Startup jobs near you
Infographic showing various Data Scientist Startup job openings in Indiana as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 77% In-person, 15% Hybrid, and 8% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.
Senior Software Engineer for Medical Device Startup

Senior Software Engineer for Medical Device Startup

Levisonics, Inc.

Fishers, IN • On-site

$115K - $152K/yr

Full-time

Medical, Dental, Vision, PTO

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