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Data Scientist - Intermediate

San Francisco, CA | IT
Job ID: 99933
Listed on 6/29/2020

KellyMitchell matches the best IT and business talent with premier organizations nationwide. Our clients, ranging from Fortune 500 corporations to rapidly growing high-tech companies, are exceptionally served by our 1500+ IT and business consultants. Our industry is growing rapidly, and now is a great time to launch your career with the KellyMitchell team.

Data Scientist - Intermediate


The position is within the science R&D team that leverages modeling, big data, and cloud computing to address scientific challenges in precision agriculture. In this position, you will leverage data science and machine learning skills to analyze complex agronomic data and build predictive models that are used by farmers to optimize their crop management decisions.

What You Will Do:
• Munge and perform exploratory analysis on large and diverse agronomic datasets as part of building models.
• Build and validate predictive models using diverse techniques that include but are not limited to deep learning, machine learning, process modeling, and statistical modeling.
• Write robust, well-documented and well-tested research code and code libraries that adhere to community standards and best practices.
• Collaborate with team members and across the Science organization to deliver high-quality, reproducible research.

Basic Qualifications:
• PhD with 1 year of experience or MS with 2 years of experience in Data Science, Machine Learning, Statistics, Applied Mathematics, or another highly quantitative discipline.
• Strong Python coding skills for data analysis and modeling, including experience with standard data science packages (numpy, pandas, matplotlib, seaborn, sklearn).
• Demonstrated experience building predictive deep learning, machine learning, simulation, and/or statistical models.
• 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.