Senior Data Scientist – Product
NA-US-CA-Virtual Office, United States
Corteva Agriscience
Corteva Agriscience™ is a publicly traded, global pure-play agriculture company that provides farmers around the world with the most complete portfolio in the industryJob Title: Senior Data Scientist – Product
About the Role
We are seeking a Senior Data Scientist – Product who brings a strong product mindset to solving high-impact problems with machine learning. You will play a critical role in designing, building, and scaling intelligent systems that power user-facing products. This position is ideal for someone who thrives at the intersection of data science, product management, and engineering excellence.
Key Responsibilities
Partner with product managers, engineers, and designers to identify opportunities for data-driven product innovation
Design and deploy machine learning models with a strong focus on robust feature engineering and real-world applicability
Develop end-to-end solutions from hypothesis generation to production deployment, with ownership of experimentation and A/B testing
Apply advanced statistical, mathematical, Machine Learning and optimization techniques to solve complex business problems
Translate business objectives into data science problems and deliver actionable insights that drive product roadmap
Lead model interpretability, monitoring, and retraining strategies to ensure long-term value and performance
Qualifications
M.S. or Ph.D. in AI, Computer Science, Applied Mathematics, Operations Research, or related field
3+ years of experience in applied data science with a strong track record in product-focused roles
Expertise in machine learning, feature engineering, optimization, and statistical modeling
Hands-on experience with Python, SQL, and frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow
Strong understanding of experimentation design, causal inference, and product analytics
Excellent communication skills with the ability to influence cross-functional stakeholders
Proven ability to translate product questions into data science solutions with measurable outcomes
Bonus Points
Experience in operations, e-commerce, marketplaces, recommendation systems, or personalization
Knowledge of reinforcement learning or online optimization techniques
Familiarity with cloud platforms (AWS, GCP, Azure), ML deployment pipelines and data Platforms like Databricks.
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.
This reflects a reasonable estimate of the targeted base salary for this role. This role is also eligible for an annual bonus. Based on factors such as geographic location and candidate qualifications, actual base pay is determined when an employment offer is made.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing AWS Azure Causal inference Computer Science Databricks E-commerce Engineering Feature engineering GCP Machine Learning Mathematics ML models Pipelines Python PyTorch Reinforcement Learning Research Scikit-learn SQL Statistical modeling Statistics TensorFlow Testing XGBoost
Perks/benefits: Career development Competitive pay Health care Medical leave Parental leave Salary bonus
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