Description

Corteva Agriscience™ has exciting opportunities for multiple Data Scientists to join our Data Science team. Successful candidates will join a strong, globally distributed Data Science team that develops and applies innovative methods and tools to deliver insights for Corteva R&D. The candidates will partner with leading toxicologists, environmental scientists, and discovery scientists to support our growing data science effects in predictive safety. The preferred location for this position is Indianapolis, IN. Remote candidates will also be considered on a case-by-case basis.

The candidates must have experience and fundamental knowledge in statistics and/or machine learning as well as programming skills to develop and deliver novel data science solutions in an industry setting.

Key responsibilities include:

• Partner with scientists to develop, prototype, and deliver rigorous statistical and/or machine learning solutions aligned to project needs
• Pre-process high-complexity datasets such as high-throughput bioassays
• Communicate and train research partners on data science models and products to facilitate data-driven decisions
• Partner with engineering and production teams to deploy data products at scale
• Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action; communicate results in internal and external forums; and contribute to scientific articles as needed
• Steward data product life cycle and partner with other data scientists to continuously improve underlying models

Qualifications

Educational Qualifications:

M.S + 3 years' experience or Ph.D. degree in Statistics, Applied Statistics, Biostatistics, Computer Science, Data Science, Engineering, Physics, or related highly quantitative fields. Additional years of experience preferred but not required.

Required Qualifications:

• Strong expertise in R or Python programming for data wrangling, statistical analysis, and machine learning applications
• Solid fundamental knowledge in probability and statistics
• Extensive experience analyzing designed experiments and observational datasets (e.g., hypothesis testing, regression analysis, mixed effects models, and experimental design)
• Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
• Fundamental understanding of machine learning techniques for classification (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, and neural networks)
• Ability to work both independently and within a multidisciplinary team environment
• Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skills
• Strong critical thinking and problem-solving skills, flexibility, and willingness to learn

Preferred Qualifications:

• Familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture
• Experience consulting on scientific projects or working within a scientific team
• Expertise in experimental design or data engineering

Benefits:

Let's peek at how you can grow your wellbeing, health, and future at Corteva!

• Strike a better work-life balance with robust time off benefits including paid maternity, paternal, and family illness leave
• Prepare for your future with our competitive retirement savings plan, tuition reimbursement program, and more
• Enjoy access to health benefits for you and your family on your first day of employment
• And much, much more!

Check out life at Corteva! https://www.linkedin.com/company/corteva/life

Ready to grow your perspectives, impact and career? Start by applying to this opportunity today!