Data Scientist

Largeton Group; Urbandale (IA); On-site; USD 114,000 - 156,800; Part time

Job summary

A leading agricultural technology firm is seeking a Data Scientist to develop advanced analytics and models for automated agricultural equipment. This role involves collaborating with various teams to deliver data science solutions and communicate findings effectively. Required skills include proficiency in Python and experience with SQL and machine learning. The position is onsite in Urbandale, IA, and requires excellent communication skills.

Qualifications

• Proficiency in developing production-ready models using Python.
• Experience with data access technologies like SQL and Spark.
• Skilled in visualization tools like Tableau.

Responsibilities

• Communicate findings and methodologies to diverse stakeholders.
• Develop and test predictive models using machine learning.
• Deliver production-ready machine learning solutions.

Skills

Proficiency in Python

SQL

Spark

Tableau

Machine Learning

Communication skills

Education

Bachelor's degree in Data Science or related field

Tools

Databricks

GIS Tools

Job description

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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