YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Senior Data Scientist Phenomics Prediction, are to:

• Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline;
• Assess needs and recommends experiments and projects, suggests new algorithmic development, drive tactical decisions about approaches and needed data;
• Use advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions;
• Explore and utilize scalable environmental & phonotypic data for scenario-based on modeling and simulation;
• Demonstrate full autonomy in developing relationships for effective cross-functional collaboration throughout multiple organizations and partner on work stream initiatives for Data Science Community;
• Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators;
• Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business.

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:

• Minimum of a Bachelors degree with 8+ yrs of experience or Masters degree with 6+ yrs of experience or PhD with 3+ yrs of professional and/or post doc experience;
• Educational preparation or applied experience in at least one of the following areas: Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline;
• Strong proficiency in computational skills; skilled at the intermediate level building data models using R, Python or other statistical and/or mathematical programming packages;
• Demonstrates Clear understanding of software development best practices (Version Control, Code Documentation & Review, Cloud Based Sequence Analysis, Database Management) Demonstrated proficiency in machine learning algorithms and concepts;
• Extensive experience in successful delivery of valuable analysis through application of domain knowledge and evidence of strong business acumen;
• Ability to manage a larger more diverse and complex project/program;
• Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to broad audiences and key stakeholders across multiple functions.

Relocation may be offered for this role.