

Data Scientist
β - 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.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
520
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ποΈ - Date discovered
September 10, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Urbandale, IA
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π§ - 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.
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.