YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Data Science, Technical Lead OR, are to: 

• Work on people and technical leadership with focus on creating team environment for individuals to develop and succeed;
• Lead innovation using latest advances in data science with primary focus on operations research and numerical optimization;
• Develop and deploy new methodologies globally, to accelerate our pipeline and product development efforts;
• Lead development and presentation of compelling, validated stories to all levels of organization, including peers, senior management and internal customers to drive both strategic and operational changes in business;
• Develop and maintain new and existing data science applications primarily focused on prescriptive analytics;
• Hire, lead and mentor a team of data scientists on a variety of projects, from conception to final deployment;
• Develop strong and successful collaborations among various Bayer crop science R&D teams.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Bachelor’s degree with at least eight years of experience or Master’s degree with at least six years of experience or Ph.D. with at least three years of professional and/or post doc experience in Industrial Engineering, Mathematics, Computer Science, or other quantitative disciplines;
• At least one year of experience with machine learning algorithms (Deep Learning, Ensembles, Clustering, SVM) and commonly used data science languages such as Python and R;
• At least five years of experience in application of operations research techniques towards solving large-scale real-world problems;
• At least five years of experience with mathematical programming languages like AMPL, GAMS and OPL;
• At least two years of experience with commercial optimization solvers such as GUROBI, IBM CPLEX, FICO Express etc.;
• Deep understanding of mathematical programming and optimization concepts (network design, stochastic programming, optimal scheduling and routing);
• Passion for solving complex analytics problems involving big data;
• Creative, proactive, bold and out-of-box thinking;
• Proven ability to communicate complex qualitative analysis in clear, precise and actionable manner;
• Strong organizational, interpersonal, and problem-solving abilities required to negotiate scope/resources, manage, and project status, and synchronize activities with team members, stakeholders, and management;
• Ability to work in a matrix environment, leading and influencing people at varying levels of responsibility.