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.

Phenomics Production Lead

Your tasks and responsibilities

The primary responsibilities of this role, Phenomics Productions Lead, are to: 

  • Lead four direct reports. This role is responsible for technical, strategic and development leadership for two FTEs and is responsible for technical and strategic direction for the two third party reports;
  • Ability to understand the needs of the data scientists within a Phenomics based team;
  • Communicate the geospatial, multi-dimensional, large data needs for the Phenomic Data Scientists to key partners in IT and external partners;
  • Stay on the cutting edge of technology in the space of cloud and edge computing, data and software engineering;
  • Collaborate with Industry and Academia on various 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;
  • Develop, define and teach best practices for data science in AWS for geospatial data in collaboration with our IT partners;
  • 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, data science best practices;
  • Participate and Lead Precision Breeding Technical initiatives;
  • Manage an annual expense of 1 Million Dollars.

 

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:

 

  • PhD or MS with 5+ years of experience in a computer science discipline (engineering, physics, mathematics, computer science, geospatial science);
  • 5 + years of relevant software development experience including but not limited to Java and/or Scala, QGIS, cloud administration and computation, R, Python;
  • Experience authoring computation workflows (using technology like Apache Airflow);
  • Experience with IaaS and PaaS such as AWS, Google Cloud, distributed computing tools (Map/Reduce, Hadoop, Hive, HBase, Scala, Spark etc);
  • Proven ability to plan, schedule and deliver quality software;
  • Experience working with large data sets;
  • Leading and influencing multidisciplinary teams;
  • Excellent verbal and written communication skills;
  • Experience working within Ag industry is a plus.

     

Your application

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. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. 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.

 

Country: United States
Location: MO-Chesterfield
Functional Area: [sap_fa_28]
Entry Level: 3