Head of Data Science and Analytics
BayerChesterfieldUpdate time: January 6,2021
Job Description

 

YOUR TASKS AND RESPONSIBILITIES

 

The primary responsibilities of this role, Head of Data Science and Analytics, are to: 

 

  • Lead multiple teams of data scientists and data engineers providing mid- to long-term strategic, tactical direction and operational oversight to define, implement and promote cutting-edge analytical and data engineering solutions for complex Breeding problems and operations;
  • Serve as a thought leader for truly innovative ideas for long term impact on product development and placement;
  • Partner with other functions working on data science, software engineering, genome design, precision breeding, phenomics to ensure collaborative development of tools and techniques;
  • Contribute as a member of initiative teams working on multiple Global Breeding strategy areas;
  • Develop strong partnerships with other teams in Global Breeding and Biotechnology to ensure broad utility and impact of results;
  • Develop a broad knowledge of global internal and external advances and plans pertaining to new breeding methodologies and tools;
  • Identify and lead efforts around Breeding precision placement strategies and testing footprint;
  • Conduct research and be a key partner to advance the collective knowledge and skills of our Data Science practice across the enterprise.

 

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:

 

  • Ph.D. in Engineering, Computer Science, Applied Mathematics, Bioinformatics, Molecular Genetics, Genomics, Statistics or related field;
  • At least four years of experience leading data scientists at various levels of experience;
  • Strong knowledge of genetics, statistics, ML algorithms and frameworks, or frameworks such as CPLEX, IaaS and PaaS such as AWS, Google Cloud;
  • At least three years of experience of applying ML technologies to drive business outcomes;
  • Fluency in programming and scripting languages;
  • Strong problem solving and critical thinking skills;
  • Experience presenting results to varied audiences and influencing project direction/strategy;
  • Demonstrated ability to foster and maintain relationships at all levels of the organization and collaborating across various levels;
  • Excellent interpersonal skills and the ability to work effectively in a team-based and cross-functional team environment.

 

Get email alerts for the latest"Head of Data Science and Analytics jobs in Chesterfield"