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Senior Data Scientist Jobs in Indiana (NOW HIRING)

We are seeking a highly skilled Senior Data Scientist with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine ...

Senior Data Scientist

Carmel, IN ยท On-site

$119K - $144K/yr

In one year as our Senior Data Scientist - Market Evaluation, you will know you were successful if you: * Use statistical, economic, and advanced data analysis to uncover meaningful patterns in ...

Senior Data Scientist

Carmel, IN ยท On-site

$119 - $144/hr

In one year as our Senior Data Scientist - Market Evaluation, you will know you were successful if you: * Use statistical, economic, and advanced data analysis to uncover meaningful patterns in ...

Senior Data Scientist

Columbus, IN ยท On-site

$80K - $90K/yr

Senior Data Scientist Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN Employment Type: (Full-time / Part-time / Contract) Contract/ FTE Pay Range: 80,000-90,000 Responsibilities:

Senior Data Scientist

Carmel, IN ยท On-site

$119 - $144/hr

In one year as our Senior Data Scientist - Market Evaluation, you will know you were successful if you: * Use statistical, economic, and advanced data analysis to uncover meaningful patterns in ...

Data Scientist

Fishers, IN ยท On-site +1

In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand ...

In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand ...

Sr. Data Scientist

Indianapolis, IN ยท On-site

$110.21 - $121.23/hr

Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into ...

Senior Data Scientist (m/f/d)

Warsaw, IN ยท On-site

$120 - $180/hr

As a Senior Data Scientist in our Commercial & Marketing Intelligence team at Flix, you can make an impact by owning and evolving our causal measurement practice -- designing and running experiments ...

Sr. Data Scientist

Indianapolis, IN ยท On-site

$80 - $88/hr

Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into ...

Data Scientist Senior Data Scientist Senior Location: Ideal candidates will be able to report to our Pulse Point location at 220 Virginia Avenue, Indianapolis, IN 46204. This role requires associates ...

Data Scientist Senior Data Scientist Senior Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support ...

Data Scientist Senior Data Scientist Senior Location: Ideal candidates will be able to report to our Pulse Point location at 220 Virginia Avenue, Indianapolis, IN 46204. This role requires associates ...

Data Scientist Senior Location: Ideal candidates will be able to report to our Pulse Point location at 220 Virginia Avenue, Indianapolis, IN 46204. This role requires associates to be in-office 1 - 2 ...

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Showing results 1-20

Senior Data Scientist information

See Indiana salary details

$39.5K

$135.6K

$191.3K

How much do senior data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior data scientist in Indiana is $135,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $158,400.00 per year, depending on experience, location, and employer.

What is a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What are the key skills and qualifications needed to thrive as a senior data scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. They often have advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R.
More about Senior Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Indiana?

The most popular types of Data Scientist jobs in Indiana are:

What cities in Indiana are hiring for Senior Data Scientist jobs?

Cities in Indiana with the most Senior Data Scientist job openings:

What are popular job titles related to Senior Data Scientist jobs in IN?

For Senior Data Scientist jobs in IN, the most frequently searched job titles are:

Infographic showing various Senior Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $135,560 per year, or $65.2 per hour.

Senior Data Scientist

Corteva Agriscience

Indianapolis, IN โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Job description

Who are we, and what do we do?
At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
We are seeking a highly skilled Senior Data Scientist with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine learning, and statistical modeling to develop adaptive bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments.
What You'll Do:
  • Design and implement adaptive process control strategies, leveraging online measurements and dynamic parameter adjustment for improved productivity and cost savings.
  • Develop and deploy predictive models for bioprocess optimization, including fermentation and downstream processing.
  • Partner with engineers and scientists to translate process insights into actionable improvements, such as yield enhancement and cost reduction.
  • Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results.
  • Collaborate with cross-functional teams to integrate data science solutions into plant operations, ensuring scalability and compliance.
  • Communicate findings through clear visualizations, reports, and presentations to technical and non-technical stakeholders.
  • Contribute to continuous improvement of data pipelines and modeling frameworks for bioprocess control.

What Skills You Need:
  • M.S. + 6 years' experience or Ph.D. + 3 years' experience in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field.
  • Strong foundation in machine learning, statistical modeling, and process control.
  • Proficiency in Python, R, or another programming language.
  • Excellent communication and collaboration skills; ability to work in multidisciplinary teams.

Preferred Skills:
  • Familiarity with bioprocess workflows, fermentation, and downstream processing.
  • Hands-on experience with bioprocess optimization models and adaptive process control strategies.
  • Experience with industrial data systems and cloud platforms.
  • Knowledge of reinforcement learning or adaptive experimentation / Bayesian optimization for process improvement.

Why Join Us?
You will be part of a globally distributed team driving innovation in bioprocess optimization and manufacturing excellence. This role offers opportunities to work on cutting-edge projects that directly impact productivity, sustainability, and cost efficiency.
#LI-BB1
Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.