Senior Data Scientist – Product

Job 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.