Data Scientist

Job Title: Data Scientist Location: Onsite in Urbandale, IA or Austin, TX Contract Type: W2, 12 months + possible extension Pay Range: $50 - $60 per hour • • • Note: No C2C or C2H arrangements possible • • • Overview: As a Data Scientist within the company's Intelligent Services Group (ISG), you will join a team leveraging petabyte-scale datasets for advanced analytics and model building. Our mission is to enable intelligent, automated equipment and improve decision-making for farmers. We collaborate with product managers and data engineers to design, scale, and deliver full-stack data science solutions. Join a passionate team applying innovative technology to solve some of the world's biggest challenges. Key Responsibilities: • Communicate findings and methodologies effectively to stakeholders across various disciplines. • Work with high-resolution machine and agronomic data to develop and test predictive models. • Deliver production-ready machine learning solutions that generate insights and recommendations from precision agriculture data. • Define, quantify, and analyze Key Performance Indicators (KPIs) that measure successful customer outcomes. • Collaborate with Data Engineering teams to ensure efficient data storage and support for analytics. Required Skills: • Proficiency in developing production-ready models using object-oriented programming languages (e.g., Python). • Experience with data-access technologies such as SQL, Spark, Databricks. • Familiarity with visualization tools like Tableau, Kepler.gl. • Knowledge of data modeling techniques including normalization, data quality assessment, attribute analysis, and performance management. • Experience building machine learning models (e.g., regression, supervised/unsupervised learning, probabilistic inference, natural language modeling). • Strong communication skills: leading meetings, documenting work, writing persuasively, presenting proof-of-concepts, and effective note-taking. Preferred Qualifications (Stand-Out Skills): • Experience with geospatial data search and analysis, geo-indexing, vector/raster data structures. • Familiarity with remote sensing, GIS tools, and satellite imagery analysis. • Background in computer vision and machine learning (CVML). • Exposure to advanced AI techniques and tools. • Portfolio of professional work (e.g., publications, patents, project work). • Understanding of distributed datasets. • Experience with diverse data structures: time-series, geo-tagged, text, structured, and unstructured. • Additional programming languages: Java, JavaScript, Scala. • Experience with simulations (e.g., Monte Carlo, Gibbs sampling). • Knowledge of model validation, bias measurement, and drift detection. • Proven collaboration with cross-functional teams (Product, Sales, Finance). • Ability to communicate complex analytical insights to non-technical audiences.