Quant Developer Telecommute Jobs in Missouri (NOW HIRING)

           

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.

 

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: CropScience   Reference Code 863349   Functional Area: CDFS   Location: St. Louis, MO   Employment Type: Regular  Position Grade:         Contact Us   Address Telephone Creve Coeur, MO   63167                                                                                                                                                  OR                                                                                                                                                                                                             careers_us@bayer.com