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Masters Data Science Jobs in Indiana (NOW HIRING)

Master's degree (MBA, Supply Chain Management, Analytics, Data Science, or Engineering). Experience and Skills Required * 10+ years of progressive experience across Supply Chain, Data & Analytics, or ...

Master's degree (MBA, Supply Chain Management, Analytics, Data Science, or Engineering). Experience and Skills Required * 10+ years of progressive experience across Supply Chain, Data & Analytics, or ...

Master's degree (MBA, Analytics, Data Science, Information Systems, ora relateddiscipline). Experience and Skills Required * 10+ years of progressive experience across Data & Analytics, Corporate ...

Master's degree (MBA, Analytics, Data Science, Information Systems, ora relateddiscipline). Experience and Skills Required * 10+ years of progressive experience across Data & Analytics, Corporate ...

Senior Software Engineer

Indianapolis, IN ยท On-site

$117K - $154K/yr

... Masters, Product Managers, and team members to develop creative data-driven solutions that meet business and technical initiatives * Work directly with data scientists to provision data for model ...

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Masters Data Science information

What is the difference between Masters Data Science vs Data Analyst?

CriteriaMasters Data ScienceData Analyst
Required CredentialsMaster's degree in Data Science, Computer Science, or related fieldBachelor's degree in Statistics, Mathematics, or related field
Work EnvironmentResearch-focused, developing models, algorithms, and advanced analyticsData cleaning, reporting, and visualization for business insights
Employer & Industry UsageTech companies, research institutions, large enterprisesBusiness, finance, marketing, healthcare sectors
Common Search & Comparison IntentUnderstanding advanced data roles, qualifications, and skillsEntry-level data roles, daily tasks, and career path

Masters Data Science professionals typically have advanced degrees and focus on developing complex models and algorithms, often in research or technical environments. Data Analysts usually hold bachelor's degrees and concentrate on interpreting data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ in scope, skills, and responsibilities.

Is a master's in data science worth it?

A master's in data science can enhance job prospects for data scientists by providing advanced skills in programming, statistics, and machine learning, which are highly valued in the field. It often leads to higher salaries and more senior roles, but practical experience and certifications like Python or R are also important for success.

What can I do with a master's in data science?

A master's in data science prepares individuals for roles such as data scientist, data analyst, machine learning engineer, or data engineer. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

Where can I work with a master's in data science?

A master's in data science qualifies individuals for roles such as data scientist, data analyst, machine learning engineer, and data engineer across various industries including technology, finance, healthcare, and consulting. These positions often require skills in programming, statistical analysis, and data visualization, and are available in both corporate and research environments.
Infographic showing various Masters Data Science job openings in Indiana as of September 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% In-person job distribution.

R & D Intern - Computer & Data Science

Indianapolis, IN โ€ข On-site

Corteva Agriscience
Crop Farmingย โ€ขย 10K+ employees

Full-time, Internship

Posted 6 days ago


Job description

Who are we, and what do we do?
Grow what's next. Grow your future. Are you excited to contribute to innovative research that advances food security and sustainability? Corteva Agriscience is seeking students for full-time internships within our Research and Development organization in Indianapolis, Indiana. Interns will work closely with experienced scientists and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.
What You'll Do:
Interns will work on one of many computer science-based projects including automation, software engineering, information science, machine learning, database building and visualization, statistics, geospatial analysis, and/or mathematical modeling.
  • Engage with business users to gather requirements, understand use cases, and identify opportunities to improve internal tools, workflows, and business processes.
  • Explore and implement AI, machine learning, analytics, and automation capabilities to improve efficiency, recommend process improvements, and support data-driven decision-making.
  • Develop AI-enabled solutions that use historical data and patterns to recommend templates, workflows, task structures, dependencies, or other ways to manage work more effectively.
  • Integrate and analyze data from multiple internal sources to improve data quality, reporting, dashboards, chatbot capabilities, business insights, and connections across project activities, milestones, and deliverables.
  • Develop and enhance internal tools through workflow automation, responsibility or role mapping, administrative process improvements, and functionality that reduces manual effort.
  • Work with geographic information systems, where applicable, to develop new data products and conduct assessments.

What Skills You Need:
  • Currently pursuing a Bachelors, Masters, or Doctorate degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, Automation or a related Field
  • Must have successfully completed two full years of undergraduate-level computer science or Data Science curriculum including associated laboratory courses.
  • Strong technical data skills and business communication, curiosity and willingness to interact with stakeholders, problem-solving mindset.
  • Interest or experience in data engineering, data pipelines, cloud data platforms, workflow orchestration, version control, testing, deployment, or CI/CD practices is a plus.
  • Minimum 3.0 GPA
  • Must be able to relocate to Indianapolis, IN for the duration of the internship.
  • Must be able to work full-time (40 hours per week) for at least 10 weeks during the timeframe of May to August (some six-month internship opportunities available).
  • Experience with the R programming language, Python, cloud computing (Azure, AWS, GCP), and visualization packages is a plus but not required.

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.