Sr. Data Scientist

Sr. Data Scientist for St. Louis, MO to develop predictive agronomic models to address scientific challenges in precision agriculture; manage data preparation and cleansing for multi-source agronomic data; ensure quality standards & build reliable pipelines for integration and analysis; lead implementation of research projects using statistical, machine learning & optimization techniques; review & revise code to ensure quality and reproducibility; provide mentorship and technical guidance to junior data scientists; provide coaching & training in agile framework and methodologies; coordinate sprints, retrospective meetings & stand-ups. Requires Master's in Data Science, Statistics, Applied Mathematics, or closely-related quantitative field & 4 yrs experience building predictive machine learning, statistical models, and optimization algorithms for research applications; deploying code to AWS; writing code in Python with data science packages, including Pandas, Numpy & Geopandas for data aggregation; using Matplotlib & Seaborn for data analysis & visualization; using PyMC for Bayesian statistical modeling & inference; using Sklearn & XGboost for machine learning and modeling; using TensorFlow and Keras for deep learning modeling; working with large, complex datasets across agronomic, genetics, environmental & weather domains using SQL, PySpark and Google BigQuery; designing & analyzing agronomic trial data, including experimental protocols and hypothesis testing to evaluate outcomes; using version control systems, including GitLab, to track code history & perform code review; creating & deploying CI/CD pipelines, applying MLOps best practices, including code documentation, merge/pull requests, unit testing, and code modularization; using JIRA & Agile methodologies for task prioritization and project management;  communicating with technical & non-technical stakeholders at all levels of the organization, including business stakeholders, agronomists, data engineers, and data scientists. Telecommuting permitted from home office location anywhere in the U.S.Salary Range: Employees can expect to be paid a salary between $120,000.00 to $150,000.00.  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 & Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO, 63167 or email resume to careers_us@bayer.com.  Include reference code below with resume.