The primary responsibilities of this role, Data Scientist customer analytics are to:
Develop & Deliver:
Deliver best-in-class analytics solutions for the customer-centric commercial operations of Bayer Crop Science. Topics include but not limited to: customer analytics, segmentation analysis, pricing, demand forecast, and risk models. Results will drive business decisions and significant revenue.
Develop practical, interpretable, and automated solutions for these business problems through expertise in statistical analysis, predictive modeling, simulation, and optimization methodology by working in a highly interactive, team-oriented environment.
Write model documentation to detail problem formulation, modeling approach, validation, data requirements and implementation steps.
Support stakeholder requests for model development, implementation, and feature improvements, be able to communicate results to a broad range of audience in a clear, interpretable manner.
Collaborate & Communicate:
Work closely with data science teams and business partners to break down complex business problems, gather requirements to build feasible solutions that are impactful, accurate and validated.
Collaborate with system integration and data warehouse engineers on data extraction and data cleaning.
Be creative, resourceful, detail-oriented, able to take initiatives and exercise critical thinking when it comes to problem solving.
Be a proactive member of a global data science team to adopt and advocate for coding best practice and documentation.
Bachelor's degree with at least 4 + of experience, Master's degree with 2+ years of experience or a PhD in one of the following areas: Data Science, Economics, Electrical/Industrial Engineering, Applied Mathematics, Statistics, Computer Science or other related quantitative discipline.
Experience conducting statistical inferences, time-series analysis, statistical simulation, analysis and building machine learning models using disparate sources of data.
Advanced programming skills in either R or Python for machine-learning tasks, working knowledge of version-control tools (such as github).
Excellent work ethic, and a strong desire to learn new skills for technical and professional growth
Experience in related fields where data science techniques are used, including agriculture, economics/econometrics, biology, math, physics and engineering.
Experience working with SQL, GCP, and AWS, and interactive visualization tools such as R-shiny, and Dash is a plus
About the team
Global data science organization is a 70+ and growing team of highly skilled, talented, and dedicated data scientists working with different business teams across Bayer Crop Science
The commercial data science branch is 25+ and growing with collaborators across global business
Within each data science branch are working groups that are typically a team of 2-3.
Location: Open to remote workers but prefers someone in CST or EST time zones.