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Lead Data Analyst
Summary
Lead Data Analyst
Lead Data Analyst for St Louis, MO to lead data analytics tasks by defining, prioritizing & setting timelines to deliver agricultural data insights and analytic requests and research projects; define research problems & develop strategic planning for agronomic data analytics projects; understand customer pain points & implement ways to improve workflows; serve as technical lead for architectural decisions; lead the building & implementation of operational models, data pipelines, statistical analyses and business intelligence tools to derive insights from user behavior data and improve business performance; advise global teams on data processes & systems; mentor junior team members on data, analytics and visualization. Requires Master's in C.S., Applied Mathematics, Operations Research or closely-related quantitative field & 3 yrs experience in an agricultural, geospatial and/or biotechnology environment: conducting data manipulations and analysis of geospatial and/or agronomic datasets; using SQL, PySpark, BigQuery & source APIs to evaluate agronomic, plant biotech and/or geospatial data; conducting exploratory & statistical data analysis to evaluate data trends using Python, including Numpy, Pandas, Matplotlib and Seaborn; applying statistical libraries including Scikit-learn, Tensorflow and Keras to geospatial and/or agronomic data; analyzing agronomic and/or geospatial datasets using WKT, Shape and GeoJSON; performing geospatial data manipulation & visualization; developing Tableau, PowerBI and Streamlit dashboards & user interfaces to track customer and internal model delivery among cross-functional product teams; creating & managing continuous integration and deployment of automated data pipelines to develop datasets for operational model ingestion; using Docker, Airflow, S3 and GCS storage to build and support automation workflows ; using Gitlab to store & distribute codebase; building & deploying CI/CD pipelines to automate, build, test and deploy Conda and Poetry packages; and designing experiments & applying data quality checks to identify limitations in data. Will also accept Bachelor's in said fields & 5 yrs progressive post-Bachelor's stated experience. Telecommuting permitted from home office location within reasonable commuting distance of St. Louis, MO up to 3 days per week. Up to 5% U.S. travel req'd. Salary Range: Employees can expect to be paid a salary between $124,000.00 to $140,000.00. 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 Jill Martin, Bayer CropScience LLC, 800 North Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to careers_us@bayer.com . Include reference code below with resume.
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer 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.
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.
Bayer is an E-Verify Employer.
Location: United States : Missouri : St. Louis
Division: Enabling Functions
Reference Code: 887732
Contact Us
Email: careers_us@bayer.com
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