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Bayer Data Science Lead, Product Design Analytics in Chesterfield, Missouri

Data Science Lead, Product Design Analytics


The primary responsibilities of this role, Data Science Lead, Product Design Analytics, are to:

  • Direct supervision of and career development for a team of 12-15, as well as developing technical leadership layer within the team;

  • Create and maintain a multi-year pipeline for platform-specific discovery, development of high performing, highly scalable models, validation and deployment of analytic models and related enabling technologies in the space of genomic prediction;

  • Engage with domain experts to define requirements for the above said models;

  • Define and develop alternative approaches, training data creation and curation, model creation, documentation and validation;

  • Partner with the deployment teams to deploy these models globally across different crops;

  • Communicate the impact of the analytics on the research pipeline with peers and leadership;

  • Stay on the cutting edge of technology in the space of new ML methodologies in the space of genomic prediction, cloud and edge computing, data and software engineering;

  • Collaborate with Industry and Academia on various research topics;

  • Participate in evaluation of select third party technologies and provide recommendations for future technical strategies;

  • Ensure team adherence to best practices as defined by Data Science Center of Excellence including (but not limited to) agile/scrum, phased project advancements, code documentation and review, information security, intellectual property documentation;

  • Partner with teams across the enterprise to deploy models to production, including production ready code, data I/O, stakeholder engagement and training, long term plans for support and monitoring sustainable performance;

  • Manage annual expense budget of $1-2M;

  • Provide thought leadership within APD analytics leadership including (but not limited to) best hiring practices, data science career architecture,external data science collaborations, data science branding and visibility;

  • Participate and Lead Precision Breeding Technical initiatives.


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 a quantitative discipline (Engineering, Physics, Statistics, Mathematics, Computer Science, Bioinformatics, Plant Breeding, Quantitative genetics) with at least five years of relevant experience;

  • At least two years of experience leading data scientists;

  • Expert command with two years of experience applying Machine Learning technologies to drive business outcomes;

  • A breadth of statistical and analytical techniques including (but not limited to) Deep Learning, Probabilistic inference, Linear Models, Bayesian Inference, Simulations and Optimization methods;

  • Familiarity with IaaS and PaaS such as AWS, Google Cloud and big data stack;

  • Influencing multidisciplinary teams;

  • Excellent verbal and written communication skills.

Preferred Qualifications:

  • Experience working with industry scale breeding programs.


Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Location: United States : Missouri : Chesterfield

Division: Crop Science

Reference Code: 391547

Contact Us

Email: hrop_usa@bayer.com