Job Summary
Onsite in Urbandale, IA (preferred) or Austin, TX.
- 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.
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.
- 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.
- 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.
- 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.).
- Location: Onsite in Urbandale, IA (preferred) or Austin, TX.
- Duration: 12-month contract.
- Must attend video screening and provide photo ID.
- LinkedIn profile required.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Contract
Job function
Job function
Engineering and Information TechnologyIndustries
Information Services
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