Overview
On Site
USD 147,000.00 - 165,000.00 per year
Full Time
Skills
Energy
People Management
Business Strategy
Management
Communication
Modeling
Mentorship
Data Science
Statistics
Computer Engineering
Python
Keras
Probability
Database
PySpark
Amazon Web Services
Data Quality
Data Analysis
matplotlib
Jupyter
Microsoft Azure
Machine Learning (ML)
Deep Learning
Statistical Models
Amazon SageMaker
TensorFlow
Docker
Version Control
GitLab
Continuous Integration
Continuous Delivery
Code Review
Telecommuting
Expect
Health Care
Market Analysis
Marketing Operations
Research
Science
Recruiting
Research and Development
Job Details
At Bayer Research & Development Services LLC we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.
Lead Data Scientist
Lead Data Scientist for St. Louis, MO to lead data science agronomic research projects & development & deployment of agronomic corn population density models to improve business outcomes; drive agronomic data science 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 degree in Data Science, Statistics, Computer Engineering or closely related quantitative field & 3 yrs experience building predictive machine learning and deep learning models using Python, Tensorflow, Keras, and Tensorflow-Probability to derive insights from agronomic, plant biotech and/or environmental data; joining & curating large, diverse datasets across multiple databases using PySpark, AWS and Google BigQuery to evaluate agronomic, plant biotech and/or environmental data quality; performing exploratory data analysis to evaluate data trends using Matplotlib, Seaborn, Jupyter, and Azure; building descriptive & predictive machine learning, deep learning, and statistical models for research applications on scalable platforms, including AWS Sagemaker, Tensorflow Serving, FastAPI, and Docker; using version control system 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 St. Louis, MO. Salary Range: Employees can expect to be paid a salary between $147,000.00 to $165,000.00. 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, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to Include reference code below with resume.
YOUR APPLICATION
Bayer Research & Developmment Services LLC offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer Research & Development Services LLC is an Equal Opportunity Employer/Disabled/Veterans
Bayer Research & Development Services LLC 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.
Bayer Research & Development Services, LLC is an E-Verify Employer. Location:United States : Missouri : St. Louis Division:Enabling Functions Reference Code:856022 Contact Us Email:
Lead Data Scientist
Lead Data Scientist for St. Louis, MO to lead data science agronomic research projects & development & deployment of agronomic corn population density models to improve business outcomes; drive agronomic data science 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 degree in Data Science, Statistics, Computer Engineering or closely related quantitative field & 3 yrs experience building predictive machine learning and deep learning models using Python, Tensorflow, Keras, and Tensorflow-Probability to derive insights from agronomic, plant biotech and/or environmental data; joining & curating large, diverse datasets across multiple databases using PySpark, AWS and Google BigQuery to evaluate agronomic, plant biotech and/or environmental data quality; performing exploratory data analysis to evaluate data trends using Matplotlib, Seaborn, Jupyter, and Azure; building descriptive & predictive machine learning, deep learning, and statistical models for research applications on scalable platforms, including AWS Sagemaker, Tensorflow Serving, FastAPI, and Docker; using version control system 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 St. Louis, MO. Salary Range: Employees can expect to be paid a salary between $147,000.00 to $165,000.00. 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, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to Include reference code below with resume.
YOUR APPLICATION
Bayer Research & Developmment Services LLC offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer Research & Development Services LLC is an Equal Opportunity Employer/Disabled/Veterans
Bayer Research & Development Services LLC 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.
Bayer Research & Development Services, LLC is an E-Verify Employer. Location:United States : Missouri : St. Louis Division:Enabling Functions Reference Code:856022 Contact Us Email:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.