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Bayer Data Science Lead, Product Advancement & Grower Data Insights in St. Louis, Missouri

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Data Science Lead, Product Advancement & Grower Data Insights


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

  • Direct supervision of and career development for growing team of 7-10, and developing technical leadership layer within the team;

  • Create and maintain a multiyear pipeline for platform-specificdiscovery, development of high performing, highly scalable models, validation, and deployment of analytic models and related enabling technologies in the space of breeding product development;

  • Engage with domain experts to define requirements for the above said models, define and develop alternative approaches, training datacreation 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 MLmethodologies, 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, andprovide recommendations for future technical strategies;

  • Ensure team adherence to best practices as defined by Data ScienceCenter 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 toproduction, 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 includingbut not limited to best hiring practices, data science career architecture, external data science collaborations, data science branding and visibility, data science best practices;

  • 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. degree (more than eight years of related experience) in Engineering, Physics, statistics, mathematics, computer science, bioinformatics, Plant Breeding, Quantitative genetics;

  • Demonstrated people leadership skills;

  • A breadth of statistical and analytical techniques including but notlimited to Deep Learning, Probabilistic inference, Linear models, Bayesian Inference, Simulations, Optimization methods;

  • More than two years of experience of applying ML technologies to drive business outcomes;

  • Experience with Machine Learning frameworks such as TensorFlow & scikit- learn, IaaS and PaaS such as AWS, Google Cloud & experience with big data stack;

  • Influencing multidisciplinary teams;

  • Excellent verbal and written communication skills Experience working within Ag industry is a plus.


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 || United States : Missouri : Saint Louis || United States : Missouri : St. Louis || United States : Missouri : St.Louis

Division: Crop Science

Reference Code: 81721

Contact Us

+1 888-473-1001, option #5