Data Scientist

and those authorized to work in the U.S. can be considered as W2 candidates. Location: Creve Coeur, MO 63141/Chicago, IL/San Francisco, CA/Seattle, WADuration: 6 monthsData ScientistWe are seeking a data scientist to join our team focused on creating descriptive and predictive models for agronomic customer behavior.What You Will Do:- Wrangle, explore, and model large and complex agronomic datasets- Perform completeness and coherence analysis when reconciling customer data from multiple sources; investigate sources of variance as needed- Design and prototype customer behavior models that correlate observations to desirable business outcomes with an emphasis on interpretability- Analyze impact of missing/partial data, data quality, feature bias, and other factors on modeling performance and interpretability- Create technical documents that outline technical approach and evaluation framework prior to start of work and after project completion- Assist with project and code reviewsBasic Qualifications:- MS in Statistics, Applied Math, Data Science, Physics or other quantitative discipline- Intermediate Python skill with one year experience conducting exploratory data analysis and modeling using Python- Demonstrated knowledge and experience manipulating and analyzing large data sets, including SQL/Dataframe experience for wrangling data into analysis ready datasets- Strong analytical and quantitative problem solving ability, with demonstrated ability to build, test, and iterate on a variety of model forms- Skilled in the use of Python for research- Strong interpersonal and communication skillsPreferred Qualifications:- PhD in Statistics, Applied Math, Data Science, Physics or other quantitative discipline- Experience with Customer Behavior modeling- Experience working with regular expressions or other text matching tools for improving quality of customer entered data- Experience with PySpark- Experience using data science to lead the inquiry and evaluation of complex business problems- Experience working with agriculture data- Strong drive to learn new topics and skills and to develop innovative products for our customers Benefits: