Data Scientist

The Judge Group
November 21, 2021
Atlanta, GA
Job Type


Location: REMOTE
Description: *W2 Applicants Only - Cannot Support C2C*

Our client is currently searching for a highly motivated data scientist with applied experience in machine learning and/or statistics. This position is within the science R&D team that leverages modeling, big data, and cloud computing to address scientific challenges in precision agriculture. This team builds predictive models that are used both in-house and by farmers, agronomists, and consultants to optimize their cereal crop management programs and economic returns. The successful candidate will leverage their data science skills to analyze complex agronomic data and build predictive models to help our growers better manage key aspects of their operations.


•  Explore and munge large and diverse spatio-temporal agronomic datasets as part of building models

•  Design, prototype, and test predictive models using diverse techniques that include but are not limited to machine learning, process modeling, and statistical modeling

•  Write and review robust, well-documented, and well-tested research code and libraries that adhere to community standards and best practices

•  Work closely with a team of world-class scientists, engineers and mathematicians to deliver high quality and reproducible scientific research

Required Qualifications

•  PhD with 1 year of experience or MS with 3 years of experience in Data Science, Statistics, Applied Mathematics, Machine Learning, or another highly quantitative discipline

•  Strong Python coding skills for data science including experience with standard data science packages (e.g., 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 effective interactions with business stakeholders as well as peer groups and team members

Preferred Qualifications

•  Demonstrated experience building predictive machine learning, simulation, and/or statistical models.

•  Passion for writing well-structured, well-tested, maintainable, performant, and well-documented code, with an emphasis on scientific code.

•  Experience using tools for Big Data analysis such as SQL and PySpark

•  Experience using version control systems (e.g., Git)

•  Experience joining large and diverse datasets across multiple databases & performing data quality checks

•  Knowledge of agricultural technology especially with regard to row crops

•  Curiosity and an open mind towards unfamiliar data sources and unfamiliar quantitative domains

Contact: [Click Here to Email Your Resumé]

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