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Location

Urbandale, IA | United States

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Job description

NOTE: W2 only. No C2C please.

NOTE: Prefer candidates that can work at the client facility in Urbandale IA. Remote for only the most qualified of candidates.

NOTE: Sponsorship is not available for this role now or in the future. Thank you.

Data Scientist

This role will be working for Aquent Studios as a Data Scientist for one of our top clients Intelligent Services Group. The team leverages petabytescale datasets for advanced analytics and model building to enable intelligent automated equipment and improved decisions by farmers. The team also partners with product managers and data engineers to design scale and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the worlds biggest problems.

In this role the candidate will:

• Communicate with impact 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 productionready 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 productionready models in an ObjectOriented Programming language such as Python.
• Demonstrated competency in using dataaccess 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 proofofconcepts and to effectively take notes.

What makes candidates standout are skills such as:

• Additional experience with other languages such as R JavaScript Scala etc.
• Experience with Geospatial data search and analysis geoindexing techniques vector and raster data structures.
• Experience with remote sensing and GIS tools.
• Experience with CVML
• Examples of professional work such as publications patents a portfolio of relevant projectwork etc.
• Familiarity with Distributed Datasets
• Experienced with a variety of data structures such as timeseries geotagged text structured and unstructured.
• 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.

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Salary