Job Summary Data Scientist - Onsite in Urbandale, IA (preferred) or Austin, TX. Role Overview • Join a team leveraging large-scale datasets to develop advanced analytics and models for intelligent, automated agricultural equipment. • Collaborate with product managers and data engineers to design, scale, and deliver full-stack data science solutions. • Apply innovative technology to solve global agricultural challenges. Key Responsibilities • Communicate findings and methodologies effectively to stakeholders with diverse backgrounds. • Develop and test predictive models using high-resolution machine and agronomic data. • Deliver production-ready machine learning solutions to extract insights from precision agriculture data. • Define, quantify, and analyze Key Performance Indicators (KPIs) related to customer success. • Partner with Data Engineering teams to ensure efficient data storage and analytics support. Required Skills & Qualifications • Proficiency in developing production-ready models using object-oriented programming languages (e.g., Python). • Experience with data access technologies (e.g., SQL, Spark, Databricks). • Skilled in visualization tools (e.g., Tableau, Kepler.gl). • Proficient in data modeling techniques (normalization, data quality assessment, attribute analysis, etc.). • Experience in building machine learning models (regression, supervised/unsupervised learning, probabilistic inference, NLP, etc.). • Excellent communication and documentation skills. Preferred/Standout Skills • Experience with geospatial data analysis, geo-indexing, and working with vector/raster data. • Familiarity with remote sensing, GIS tools, and satellite imagery analysis. • Knowledge of computer vision and machine learning (CVML) and advanced AI techniques. • Portfolio of professional work (publications, patents, project work). • Experience with distributed datasets and varied data structures (time-series, geo-tagged, text, structured/unstructured). • Proficiency in additional programming languages (Java, JavaScript, Scala, etc.). • Background in simulations (Monte Carlo, Gibbs sampling). • Experience with model validation, bias, and drift measurement. • Ability to translate complex analytical insights for non-technical stakeholders. • Collaboration experience with cross-functional teams (Product, Sales, Finance, etc.). Other Details • Location: Onsite in Urbandale, IA (preferred) or Austin, TX. • Duration: 12-month contract. • Must attend video screening and provide photo ID. • LinkedIn profile required.