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.
Corteva Agriscience has an exciting opportunity for a Senior Data Scientist with expertise in statistical and machine learning methods. The successful candidate will join a robust, diverse, and globally distributed Data Science team that develops and applies innovative methods and tools to deliver insights for R&D. The candidate will partner with leading industrial scientists to support our growing data science efforts in Crop Protection discovery and Development. The Senior Data Scientist will lead projects applying and researching data science methods, along with providing technical mentorship for junior data scientists. The position will be based in Indianapolis, IN to allow for strong collaboration with laboratory chemists, but remote work needs of highly qualified candidates will be considered.
Responsibilities:
How will you help us grow? It matters to us, and it matters to you!
• Lead projects to apply machine learning/statistical modeling and interpret complex datasets to enable data-driven decisions
• Provide data science expertise and collaborate with scientists to achieve robust solutions to important business challenges
• Develop and deploy end-to-end data analysis pipelines and applications for users with diverse backgrounds in chemical and biological disciplines
• Communicate results in internal and external forums and contribute to scientific articles
• Provide technical leadership, mentoring, and critique to junior data scientists
Qualifications
Requirements:
What expertise have you grown? What do you bring to the table?
Educational Qualifications
• Ph.D. degree in Computer Science, Industrial Engineering, Operations Research, Statistics, Computational Chemistry, or related highly quantitative fields with 3+ years of relevant experience, or comparable combinations of formal education and relevant experience.
Required Qualifications
• Proven ability to independently translate scientific needs into Data Science problems by asking the right questions and deliver solutions by identifying necessary data, building models, and producing actionable results.
• Practical experience with supervised and unsupervised machine learning algorithms (e.g. decision trees, neural networks, SVM, clustering)
• Understanding of the fundamental statistical and mathematical bases of machine learning algorithms
• Experience with feature selection, model diagnostics, remedial measures, and validation
• Strong expertise in data wrangling/munging
• Ability to master concepts from new application domains
• Excellent written and verbal communication skills and the ability to successfully lead projects and collaborate with colleagues from diverse technical backgrounds
• Strong critical thinking and problem-solving skills, flexibility, and willingness to learn
Preferred Qualifications
• Experience in the application of statistical experimental design (e.g., randomized complete/incomplete block designs, central composite designs)
• Experience conducting statistical analyses of designed and observational experiments
• Expertise in complex neural network methods
• Experience consulting on scientific projects or working within a scientific team
• Experience or education in chemistry/biochemistry
Community:
We care about you and we care that you're comfortable. While there's no place like home, Corteva comes close.
Benefits:
Let's peek at how you can grow your wellbeing, health, and future at Corteva!
Strike a better worklife 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!
Ready to grow your perspectives, impact and career? Start by applying to this opportunity today!
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Location: Anywhere
Posted: Aug. 16, 2024, 4:18 a.m.
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