Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position based in Urbandale, IA, for a contract duration of 1+ year, offering competitive pay. Key skills include machine learning, data modeling, and experience with geospatial data and visualization tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
520
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πŸ—“οΈ - Date discovered
September 10, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Urbandale, IA
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🧠 - Skills detailed
#Spatial Data #Data Science #Unsupervised Learning #Indexing #Attribute Analysis #Regression #Tableau #Datasets #ML (Machine Learning) #Normalization #Data Quality #Visualization #Data Modeling #Data Engineering #Supervised Learning
Role description
Job Title: Data Scientist Location: Urbandale, IA Duration: Contract 1 + year Summary : As a Data Scientist you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. Key Responsibilities: β€’ Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds. β€’ Work with high resolution machine and agronomic data in the development and testing of predictive models. β€’ Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data. β€’ Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes. β€’ Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics Qualification : β€’ Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc. β€’ Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc. β€’ Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes. β€’ What makes candidates stand-out are skills such as: β€’ Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures. β€’ Experience with remote sensing, GIS tools, and satellite imagery analysis. β€’ Experience with CVML β€’ Experience with Visualization tools such as Tableau, Kepler.gl, etc.