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Agriculture Data Science Jobs in Indiana (NOW HIRING)

Keystone Cooperative

ML Engineer

Indianapolis, IN · On-site

Preferred : • Master's degree in Data Science, Statistics, Computer Science, or related field. Company : Keystone Cooperative is an agricultural cooperative that provides agronomy, energy, grain ...

Corteva Agriscience

Associate Investigator

Indianapolis, IN · On-site

$44K - $44K/yr

No matter your role, you will be part of a team that is building the future of agriculture ... The Associate Investigator utilizes NIR, IR, Raman, data science and modeling expertise to enable ...

Corteva, Inc.

Associate Investigator

Indianapolis, IN · On-site

$44K - $44K/yr

No matter your role, you will be part of a team that is building the future of agriculture ... The Associate Investigator utilizes NIR, IR, Raman, data science and modeling expertise to enable ...

Keystone Cooperative

ML Engineer

Indianapolis, IN · On-site

... in Data Science, Statistics, Computer Science, or related field. Preferred : • Master's degree preferred. Company : Keystone Cooperative is an agricultural cooperative that provides agronomy ...

Merchants Bank of Indiana

Data Engineer

Carmel, IN

$108K - $130K/yr

Bachelor's or Master's degree in computer science, data analytics, or a related field. * 3+ years ... agricultural lending, and traditional community banking. Merchants Bancorp, with $18.8 billion in ...

Merchants Bancorp

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

Bachelor's or Master's degree in computer science, data analytics, or a related field. * 3+ years ... agricultural lending, and traditional community banking. Merchants Bancorp, with $18.8 billion in ...

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Agriculture Data Science information

What is an agriculture data science job?

An Agriculture Data Science job involves applying data science techniques to agricultural data to optimize farming practices, improve crop yields, and enhance sustainability. Professionals in this field analyze data from sensors, satellite imagery, weather patterns, and soil conditions to provide actionable insights. They use machine learning, statistical modeling, and predictive analytics to help farmers and agribusinesses make data-driven decisions. This role often requires a background in agriculture, data analysis, and programming skills such as Python or R.

What are some common challenges faced by agriculture data scientists?

Agriculture Data Scientists often encounter challenges such as working with incomplete or inconsistent data, integrating information from various sources (e.g., sensors, satellite imagery, weather data), and building models that account for the biological and environmental variability inherent in agriculture. Additionally, translating complex data analyses into practical insights that can be applied by agronomists or farmers requires close collaboration and clear communication. Overcoming these challenges not only strengthens analytical skills but also helps drive impactful innovation and efficiency across the agriculture sector.

What are the key skills and qualifications needed to thrive in agriculture data science, and why are they important?

To excel in Agriculture Data Science, you need a strong background in statistics, data analysis, programming (such as Python or R), and a foundational understanding of agricultural systems, typically supported by a degree in data science, agriculture, or a related field. Familiarity with GIS software, big data platforms, machine learning tools, and certifications in data analytics or agronomy are commonly required. Excellent problem-solving, clear communication, and the ability to collaborate with multidisciplinary teams are highly valued soft skills. These competencies are crucial for transforming raw agricultural data into actionable insights that improve farm productivity and sustainability.

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

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

What are popular job titles related to Agriculture Data Science jobs in Indiana?

For Agriculture Data Science jobs in Indiana, the most frequently searched job titles are:

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

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

What cities in Indiana are hiring for Agriculture Data Science jobs?

Cities in Indiana with the most Agriculture Data Science job openings:

Agriculture Data Science jobs near you
Infographic showing various Agriculture Data Science job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Enterprise Data and Analytics Platform Leader

Corteva Agriscience

Indianapolis, IN • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New

Job description

Enterprise Data and Analytics Platform Leader
Corteva Agriscience™ has an exciting opportunity for an Enterprise Data and Analytics Platform Leader. We are seeking an experienced technology and people leader who is passionate about shaping and delivering enterprise-scale data and analytics platforms that accelerate business innovation and enable data-driven decision making across the company.
The successful candidate will join a globally distributed Integrated Enterprise Solutions organization and play a critical role in advancing Corteva's enterprise data and analytics capabilities. This leader will be responsible for defining and executing the vision, strategy, and roadmap for enterprise data and analytics, ensuring they are secure, scalable, governed, and aligned with business objectives.
The ideal candidate will bring broad leadership experience spanning data platforms, data engineering, cloud technologies, platform engineering, and data governance. This role requires strong strategic thinking, organizational leadership, stakeholder engagement, and the ability to translate business priorities into modern platform capabilities that enable digital innovation at scale.
The successful candidate may be located in Indianapolis, IN, or, for highly qualified individuals, remotely within the United States.
Key Responsibilities
  • Lead the Enterprise Data and Analytics Platform organization, providing strategic direction, organizational leadership, and talent development.
  • Define and execute the vision, architecture, and roadmap for enterprise data and analytics platforms.
  • Contribute to the development of the enterprise data strategy and drive successful execution across the organization.
  • Deliver scalable, secure, and governed data capabilities that enable advanced analytics, AI, and machine learning solutions.
  • Lead platform engineering efforts supporting technologies such as Databricks, Fabric, Power Platform, cloud data services, data integration, data governance.
  • Partner with business and digital leaders to align platform capabilities with enterprise priorities and strategic outcomes.
  • Establish platform operating models, engineering standards, governance processes, and best practices to ensure reliability, scalability, and operational excellence.
  • Drive adoption of enterprise data platforms, self-service capabilities, and modern engineering practices across the organization.
  • Build and develop a high-performing team while fostering a culture of innovation, accountability, continuous improvement, and operational excellence.
  • Manage vendor relationships, and technology roadmaps to maximize business value and long-term scalability.

Educational Qualifications
Master's, or PhD degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical discipline.
Required Qualifications
  • 10+ years of progressive leadership experience in data, analytics, platform engineering, or related technology functions.
  • 5+ years of people leadership experience managing managers and technical teams.
  • Demonstrated experience leading enterprise-scale data platforms, cloud-based data ecosystems, and data engineering organizations.
  • Deep knowledge of modern data architectures, data management, cloud platforms, and AI/ML enablement technologies.
  • Experience with cloud and cloud-native data platforms, including Databricks, Microsoft Azure, AWS, or similar technologies.
  • Strong understanding of data governance, security, compliance, and enterprise architecture principles.
  • Proven ability to develop platform strategy, influence senior stakeholders, and deliver large-scale technology transformations.
  • Experience building and leading high-performing, globally distributed technical teams.
  • Excellent communication, collaboration, and executive stakeholder management skills.
  • Demonstrated track record of delivering measurable business outcomes through data and analytics capabilities.

Preferred Qualifications
Knowledge of agricultural or life sciences business data environments and industry.
#LI-AB1
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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