Hiring - Data Scientist - Onsite Austin TX

Role Overview

Join a data science team working with petabyte-scale machine & agronomic datasets to build advanced analytics and machine learning solutions that power intelligent equipment and improve farmer decision-making.

Key Responsibilities

• Communicate analytical findings & methodologies to diverse stakeholders
• Develop & test predictive ML models using high-resolution machine/agronomic data
• Build production-ready machine learning solutions
• Define & analyze Key Performance Indicators (KPIs) tied to customer outcomes
• Collaborate with Data Engineering to ensure scalable & efficient data storage

Core Technical Requirements (Must-Have)

• Python (Object-Oriented Programming) for production ML models
• SQL, Spark, Databricks for large-scale data processing
• Data visualization (e.g., Tableau, Kepler.gl, QGIS)
• Data modeling & data quality assessment
• Machine learning techniques:
  • Regression
  • Supervised / Unsupervised learning
  • Probabilistic inference
  • NLP
• Model validation, bias detection & drift monitoring
• Strong communication & documentation skills

Stand-Out / Preferred Skills

• Geospatial analytics & GIS expertise
• Remote sensing / satellite imagery analysis
• Computer Vision (object detection + segmentation)
• Experience with Segment Anything (SAM)
• Advanced AI systems:
  • Agentic systems / tool use
  • RAG with vector databases
  • Foundation model fine-tuning
  • Production AI evaluation & governance
• Experience with time-series, spatial & unstructured data
• Additional languages (Java / Scala / JavaScript)
• Simulation methods (Monte Carlo, Gibbs sampling)
• Portfolio, patents, publications

Soft Skills

• Cross-functional collaboration (Product, Sales, Finance)
• Ability to translate complex analytics into business-friendly insights

Education Preference

• MS / PhD preferred