Data Scientist

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.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Information Services

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