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Computer Science Statistics Jobs in Indiana (NOW HIRING)

Munich Re

Data Scientist

Fishers, IN · On-site +1

Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and ...

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Bachelor's Degree in an analytical/research field (Math, Physics, Engineering, Computer Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination. Advanced ...

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

Currently enrolled in an undergraduate program as a rising Junior or Senior, pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or a related field. * Foundational experience ...

New

Corteva, Inc.

Senior Data Scientist

Indianapolis, IN · On-site

D. + 3 years' experience in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field. * Strong foundation in machine learning ...

Inetum

Data Engineer | TMB

Warsaw, IN · On-site

$49 - $71/hr

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. * Minimum 3 years of experience as a Data Analyst or Data Quality Analyst in a data-driven ...

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All JobsComputer Science Statistics JobsComputer Science Statistics Jobs in Indiana

Computer Science Statistics information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do computer science statistics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer science statistics 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 is a computer science statistics?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What do computer science statistics professionals do?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What skills and qualifications are needed for computer science statistics?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills for many computer science roles.

What are popular job titles related to Computer Science Statistics jobs in Indiana?

For Computer Science Statistics jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Computer Science Statistics jobs in Indiana look for?

The top searched job categories for Computer Science Statistics jobs in Indiana are:

Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Biologicals Discovery Data Scientist

Corteva, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Corteva Agriscience rating

8.2

Company rating: 8.2 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

86th of 545 rated manufacturers

Job description

Corteva Agriscience is seeking an innovative, collaborative, and enthusiastic Data Scientist with a strong foundation in machine learning, deep learning, and life or physical sciences. The successful candidate will join a strong, globally distributed Data Science team applying advanced analytics and AI to accelerate biologicals discovery - spanning both microbial and natural products discovery - for crop health. This is a high-impact opportunity to shape how modern AI and predictive modeling are applied across these discovery pipelines, partnering closely with data scientists, data engineers, genomics and metabolomics scientists, chemists, and biologists to deliver differentiated solutions to agriculture.
The preferred location for this position is our Corteva Global Headquarters in Indianapolis, Indiana, USA.
What You'll Do:
  • Innovate at the interface of data science, chemistry, and biology to drive discovery of novel microbial and natural products solutions for crop health
  • Develop predictive models that integrate genomic, metabolomic, and phenotypic data to characterize and prioritize promising candidates
  • Build models that connect insights across discovery pipelines, helping identify opportunities that might otherwise be missed within a single pipeline
  • Actively seek, evaluate, and implement modern AI/ML methods - including deep learning and modern architectures - to advance predictive modeling capabilities
  • Partner with collaborators across domains to drive integrated discovery pipelines and candidate prioritization, selection, and advancement toward new microbial and natural products solutions

What Skills You Need:
  • Minimum MS with 5+ years of post-graduation work experience, or Ph.D., in quantitative fields (e.g., Data Science, Statistics, Mathematics, Computer Science) or in life or physical sciences (e.g., Biology, Chemistry)
  • Strong understanding of biology, with the ability to critically evaluate model outputs to generate testable and business-relevant biological and biochemical hypotheses
  • Demonstrated experience with modern machine learning and deep learning methods, including hands-on experience with a modern AI stack (e.g., PyTorch, transformer architectures, generative AI methods), and a solid understanding of the math and model behavior to make sound methodological judgment (e.g., appropriate training design, evaluation metrics, model calibration)
  • Demonstrated ability to independently frame a research problem, define success criteria and evaluation approach, and clearly articulate findings - from early-stage ambiguity through to a well-structured, communicated result
  • Strong foundation in Python or a similar programming language for data wrangling, analysis, and ML applications
  • Excellent verbal and written communication skills with ability to work as part of a cross-functional project team

Preferred Skills:
  • Experience with multi-modal, integrative, or digital twin modeling approaches
  • Experience integrating genomic, metabolomic, and/or phenotypic data for predictive modeling
  • Experience with generative AI approaches applied to life sciences
  • Experience or education in natural products chemistry/biochemistry or microbiology
  • Experience deploying ML models to production, with MLOps practices such as version control, containerization, workflow orchestration, and reproducible, maintainable pipelines
  • Practical knowledge and experience with cloud-computing systems and platforms
  • Experience with agentic AI systems or tool-use/multi-agent architectures

#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.

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