Lead Data Scientist
BayerJobsCloseBy Editorial Insights
Bayer seeks a Lead Data Scientist in St Louis to lead agronomic data science research projects, develop and deploy crop placement models, define research problems, and mentor junior team members on model development and validation. The role requires a Master’s in Data Science or a closely related field and about five years of agronomic industry experience plus building data pipelines with SQL, PySpark and Google BigQuery; performing exploratory data analysis with Matplotlib and Seaborn; developing machine learning and deep learning models in Python (Keras TensorFlow Scikit-learn XGBoost); creating and deploying CI CD pipelines with Artifactory; documenting code, unit testing and modularizing code; designing agronomic trial data and hypothesis testing. Travel up to 5 percent; telecommuting up to 2 days per week from a home office near St Louis. Salary 140 000 to 175 000 plus benefits. Apply by mailing resume to Cascinda Fischbeck or emailing [email protected] with reference code 871820. Bayer is an Equal Opportunity Employer and accommodations are available.
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 [email protected]. Include reference code below with resume.
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.
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. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Division: Crop Science Reference Code 871820 Functional Area: DFS Location: St. Louis, MO Employment Type: Regular Position Grade: Contact Us Address Telephone Creve Coeur, MO 63167 OR [email protected]