Bayer

Lead Data Scientist

Bayer$140K — $175K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's Degree in Data Science, Customer Analytics, or closely related quantitative field
  • 5 years professional experience in the agronomic industry
  • Proficiency in SQL, PySpark, and Google BigQuery for data collection pipelines
  • Experience in exploratory data analysis using Matplotlib and Seaborn
  • Ability to build machine learning and deep learning models in Python utilizing frameworks like Keras and TensorFlow

Responsibilities

  • Lead agronomic data science research projects focusing on crop placement models
  • Design and prototype agronomic models
  • Define research problems and strategize agronomic data science projects
  • Mentor junior team members in model development and validation
  • Construct data-driven evaluation frameworks and communicate results effectively
  • Design and conduct statistical analyses for field trial protocols

Benefits

  • Telecommuting permitted up to 2 days per week
  • Health care coverage
  • Vision and dental insurance
  • Retirement savings plan
  • Paid time off and sick leave
Full Job Description
Lead Data Scientist for St. Louis, MO to lead agronomic data science research projects for development & deployment of crop placement models; design & prototype agronomic models; define research problems & develop strategic planning for agronomic data science projects; mentor & provide feedback to junior team members on model development and validation; construct data-driven evaluation frameworks & communicate modeling results to technical and non-technical stakeholders; lead the design & statistical analysis of field trial protocols. Requires Master's Degree in Data Science, Customer Analytics or closely related quantitative field & 5 yrs professional agronomic industry experience developing data collection pipelines for agronomic & environmental datasets using SQL, PySpark and Google BigQuery; performing exploratory data analysis of agronomic data to evaluate data quality & data trends using Matplotlib and Seaborn; building machine learning & deep learning models in Python for agronomic predictions, using Keras, Tensorflow, Sklearn and XGboost; creating & deploying CI/CD pipelines with Artifactory; performing code documentation, unit testing & code modularization; using GitLab to track code history & perform code review; and designing & analyzing agronomic trial data, including experimental protocols and hypothesis testing. Up to 5% U.S. and int'l travel req'd. Telecommuting permitted up to 2 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 $140,000.00 to $175,000.00. 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 Cascinda Fischbeck, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., St. Louis, MO 63167 or email resume to [redacted]. Include reference code below with resume.

Division:Crop Science Reference Code871820 Functional Area:DFS Location:St. Louis, MO Employment Type:Regular Position Grade: Contact Us AddressTelephoneCreve Coeur, MO 63167 OR [email protected]

About Bayer

Bayer is a multinational pharmaceutical and life sciences company that develops and produces a wide range of products, including prescription drugs, over-the-counter medications, and agricultural chemicals. The company was founded in 1863 and is headquartered in Leverkusen, Germany. Bayer operates in three main business segments: Pharmaceuticals, Consumer Health, and Crop Science. The company is known for products such as Aspirin, Aleve, and Claritin, among others.
Learn more about Bayer
Size
100,753 employees
Industry
Founded
1863
NASDAQ

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