Primary Purpose & Function
Responsible for utilizing company data to produce data-driven insights for key stakeholders and processing, designing, and presenting data to assist with making business decisions.
Essential Functions & Responsibilities
· Process confidential data and information according to project requirements.
· Design models and algorithms to process both public and proprietary datasets.
· Implement numerical solutions and create statistical and mathematical models using Python and SQL
· Assist with various statistical analysis, modeling projects, and data flows.
· Create data visualizations for use in both internal and external capacities.
· Monitor and improve model performance by integrating new data and refining methodologies.
· Aid in hypothesis formulation, data collection, modeling, and interpretation of complex datasets to enable data-driven decisions.
Qualifications & Education Requirements
· 1-3 years of experience in data science with a statistical background with proven applicable methods.
· Masters or PHD in a relevant field such as Computer Science, Mathematics, Data Science, Economics, or similar field.
· Familiarity with one or more of the following: crop yield datasets, insurance, agriculture business
· Background with analyzing data and providing initial statistical analyses.
· Expert with a scientific programming language (e.g. R, Python) and SQL.
· Excellent communications skills to both technical and non-technical audiences; high-level written and verbal communication skills
· Experience with machine learning and statistical concepts, packages and libraries
· Strong problem-solving, analytic and interpersonal skills
· Ability to work with clean and messy data and see patterns in data.