Data Scientist

Urbandale, IA - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Application Deadline: Feb. 6 2026
Urbandale
On-site
Hourly salary: $63

Job Description

You will:

Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.
Work with high resolution machine and agronomic data in the development and testing of predictive models.
Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data.
Define quantify and analyze Key Performance Indicators that define successful customer outcomes.
Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.

Relevant skills include:

Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python.
Demonstrated competency in using data-access technologies such as SQL Spark Databricks etc.
Experience with Visualization tools such as Tableau etc.
Experience with Data Modeling techniques such as Normalization data quality and coverage assessment attribute analysis performance management etc.
Experience building machine learning models such as Regression supervised learning unsupervised learning probabilistic inference natural language modeling etc.
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.

What makes candidates stand-out are skills such as:

Experience with Geospatial data search and analysis geo-indexing techniques vector and raster data structures.
Experience with remote sensing GIS tools and satellite imagery analysis.
Experience with CVML
Experience with advanced AI techniques and tools.
Examples of professional work such as publications patents a portfolio of relevant project-work etc.
Familiarity with Distributed Datasets
Experienced with a variety of data structures such as time-series geo-tagged text structured and unstructured.
Additional experience with other languages such as Java JavaScript Scala etc.
Experience with simulations such as Monte Carlo simulation Gibbs sampling etc.
Experience with model validation measuring model bias measuring model drift etc.
Experience collaborating with stakeholders from disciplines such as Product Sales Finance etc.
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.

Required Experience:

Application Deadline: Feb. 6 2026 UrbandaleOn-siteHourly salary: $63Job DescriptionYou will:Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.Work with high resolution machine and agronomic data in the development an...

Application Deadline: Feb. 6 2026
Urbandale
On-site
Hourly salary: $63

Job Description

You will:

Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.
Work with high resolution machine and agronomic data in the development and testing of predictive models.
Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data.
Define quantify and analyze Key Performance Indicators that define successful customer outcomes.
Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.

Relevant skills include:

Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python.
Demonstrated competency in using data-access technologies such as SQL Spark Databricks etc.
Experience with Visualization tools such as Tableau etc.
Experience with Data Modeling techniques such as Normalization data quality and coverage assessment attribute analysis performance management etc.
Experience building machine learning models such as Regression supervised learning unsupervised learning probabilistic inference natural language modeling etc.
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.

What makes candidates stand-out are skills such as:

Experience with Geospatial data search and analysis geo-indexing techniques vector and raster data structures.
Experience with remote sensing GIS tools and satellite imagery analysis.
Experience with CVML
Experience with advanced AI techniques and tools.
Examples of professional work such as publications patents a portfolio of relevant project-work etc.
Familiarity with Distributed Datasets
Experienced with a variety of data structures such as time-series geo-tagged text structured and unstructured.
Additional experience with other languages such as Java JavaScript Scala etc.
Experience with simulations such as Monte Carlo simulation Gibbs sampling etc.
Experience with model validation measuring model bias measuring model drift etc.
Experience collaborating with stakeholders from disciplines such as Product Sales Finance etc.
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.

Required Experience: