Data Modeling Analyst jobs in Greenville, MS

Data Scientist

Description:

The Customer Centricity team within Bayer IT Decision Science is looking for a highly motivated data scientist with prior crop science experience in addition to applied experience in machine learning, deep learning, statistical methodology, and software development practices.

The position will leverage various modeling techniques to address scientific challenges in enterprise grade scientific challenges supporting global agriculture. In this position, you will leverage data science and deep learning skills to analyze complex agronomic data and build predictive models and the model infrastructure that are used by farmers to optimize their productivity.

What you will be doing:

• 75% of your day-to-day:
• Evaluating collaborations with external partners in a statistically & scientifically rigorous manner
• Partnering with Commercial Analytics and Customer analytics teams for project scoping, evaluation, and execution.
• Developing rapid prototype models and if found to be efficacious bringing those models from POC phase into the program portfolio
• Identifying model-opportunity use cases with program leads
• Reviewing code in partnership with other CCDS's on the team!

Remaining 25%:

• Self-directed identification of new areas for innovation based on the intersection of your background/passions and the business needs.

Basic Qualifications:

• 
  Demonstrated experience in moving and maintaining R&D models to production settings
• MS with 4 years of experience in Data Science, Machine Learning, Statistics, Applied Mathematics, or another highly quantitative discipline.
• Demonstrated experience building predictive models using machine learning, deep learning, simulation/process, and/or statistical models.
• Strong Python coding skills for data analysis and modeling, including experience with standard data science packages (numpy, pandas, matplotlib, seaborn, sklearn).
• Ability to learn new quantitative domains and modeling techniques.
• Self-motivated and able to work independently as well as part of a team.
• Strong communication skills for interactions with team members.
• Experience using version control systems like GitHub/GitLab

Preferred Qualifications:

• 
  PhD with 2 , or MS with 4 years of experience in Data Science, Machine Learning, Statistics, and/or other highly quantitative discipline.
• Passion for writing well-structured, well-tested, maintainable, performant, and well-documented code, with an emphasis on scientific code.
• Experience translating scientific models into code.
• Applied experience with agricultural science and/or agricultural datasets.
• Experience using tools for big datasets, such as SQL and PySpark.
• Experience with multiple Machine Learning frameworks and able to demonstrate their respective strengths and weaknesses
• Experience with at least one deep learning model (DNN, RNN, etc.) and framework (tensorflow, JAX, pytorch, etc.).
• Experience deploying enterprise-grade packages and models into production pipelines and systems

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