Lead Data Scientist

Bayer; St. Louis (MO); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Health care

Vision

Dental

Retirement

Paid time off

Sick leave

Job summary

Bayer CropScience Limited is hiring a Lead Data Scientist in St. Louis, MO. This role involves leading agronomic data science research projects, designing models, and mentoring junior team members. The ideal candidate will have a Master's in Data Science and at least 5 years of experience in developing predictive models and data collection pipelines.

This position offers a flexible telecommuting option and a competitive salary of $140,000 to $175,000, along with benefits including health care and paid time off.

Qualifications

• Master’s degree in Data Science, Customer Analytics, or a related field.
• At least 5 years of experience in agronomic data science.
• Strong communication skills for technical and non-technical audiences.

Responsibilities

• Develop data pipelines using SQL and PySpark.
• Perform exploratory data analysis on agronomic data.
• Build machine learning models in Python for agronomic predictions.

Skills

SQL

Python

Machine Learning

Data Analysis

Statistical Analysis

CI/CD Pipelines

Education

Master’s degree in Data Science or related field

Tools

PySpark

Google BigQuery

Keras

TensorFlow

scikit-learn

XGBoost

Artifactory

GitLab

Job description

Lead Data Scientist (St. Louis, MO)

Lead agronomic data science research projects for development and deployment of crop placement models; design and prototype agronomic models; define research problems and develop strategic planning for agronomic data science projects; mentor and provide feedback to junior team members on model development and validation; construct data‑driven evaluation frameworks and communicate modeling results to technical and non‑technical stakeholders; lead the design and statistical analysis of field trial protocols.

Responsibilities

• Develop data collection pipelines for agronomic and environmental datasets using SQL, PySpark, and Google BigQuery.
• Perform exploratory data analysis of agronomic data to evaluate data quality and data trends using Matplotlib and Seaborn.
• Build machine learning and deep learning models in Python for agronomic predictions, using Keras, TensorFlow, scikit‑learn and XGBoost.
• Create and deploy CI/CD pipelines with Artifactory.
• Perform code documentation, unit testing, and code modularization.
• Use GitLab to track code history and perform code review.
• Design and analyze agronomic trial data, including experimental protocols and hypothesis testing.
• Communicate modeling results to technical and non‑technical stakeholders.

Qualifications

• Master’s degree in Data Science, Customer Analytics, or a closely related quantitative field.
• At least 5 years of professional experience in the agronomic industry developing data collection pipelines and predictive models.
• Proficiency with SQL, PySpark, Google BigQuery, Python, and machine learning libraries (Keras, TensorFlow, scikit‑learn, XGBoost).
• Experience with CI/CD pipeline creation and deployment (Artifactory, GitLab).
• Strong statistical analysis and experimental design skills.
• Excellent communication skills for both technical and non‑technical audiences.

Location & Travel

• Based in St.Louis, MO; telecommuting permissible up to 2 days per week from a home office within reasonable commuting distance.
• Up to 5% U.S. and international travel required.

Compensation & Benefits

• Base salary range: $140,000.00 – $175,000.00.
• Potential bonus or commission structure.
• Benefits include health care, vision, dental, retirement, paid time off, and sick leave.

Equal Opportunity Employer

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).

Job Details

• Division: Crop Science
• Reference Code: 871820
• Location: St.Louis, MO
• Employment Type: Regular