Bayer

Data Scientist (Mid) - Data & Analytics - IT - CS ...

Job description

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.


Required Qualifications:

  • 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


Preferred Qualifications:

  • 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.


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