Description
Climate LLC: Lead Data Scientist for San Francisco, CA to lead data research projects & development of agronomic customer behavior models to improve business outcomes; develop & execute project briefs; drive agronomic project prioritization; oversee team in planning & implementing research improvements using statistical and modeling techniques; perform code review of agronomic models for department; set research strategy & ensure alignment with business strategy; manage communication of modeling results & predicted outcomes to internal and external stakeholders; mentor & coach junior data scientists. Requires Master’s in Data Science, Business Analytics, Operations Research or closely related quantitative field & 2 yrs experience building predictive machine learning and Bayesian statistical models using Python and Tensorflow to derive insights from agronomic, biotech and/or environmental data; joining & curating large, diverse datasets across multiple databases using PySpark and YARN to evaluate agronomic, biotech and/or environmental data quality; performing exploratory data analysis to evaluate data trends using Matplotlib and/or Seaborn in Domino; building descriptive & predictive machine learning and statistical models for research applications on scalable platforms, including AWS Sagemaker, ECR and Docker; building Python modules into stable & reusable Conda packages; using version control systems, including Gitlab; creating & deploying CI/CD pipelines with Artifactory; and performing code review. Up to 10% U.S. travel req’d. Telecommuting permitted up to 3 days per wk from home office location within reasonable commuting distance of San Francisco, CA. Salary Range: Employees can expect to be paid a salary between $150,000.00 to $170,000.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The offered salary may vary within this range based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors. Mail resume to Jill Martin, Climate LLC, 4 CityPlace Drive, Suite 100, St. Louis, MO 63141 or email resume to careers_climate_us@bayer.com. Reference Job Code 3625.
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