Job Description
Job Title - Data Scientist (Python, SQL, Spark, Databricks, BigQuery, MongoDB, Tableau, PowerBI, DataStudio)
Job Location - Onsite
Candidate should work onsite at the client's facility in Urbandale, IA. Remote is possibility, but not preferred.
Job Type - Full Time
NOTE: W2 only.
Regional relocation available .
Sponsorship Available
Compensation - Benefits Are Available
Job description -
Duties Include
Job Location - Onsite
Candidate should work onsite at the client's facility in Urbandale, IA. Remote is possibility, but not preferred.
Job Type - Full Time
NOTE: W2 only.
Regional relocation available .
Sponsorship Available
Compensation - Benefits Are Available
Job description -
Duties Include
- 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
- 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, BigQuery, MongoDB, etc.
- Experience with Visualization tools such as Tableau, PowerBI, DataStudio, 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.
- Additional experience with other languages such as R, JavaScript, Scala, etc..
- Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.
- Excellent communication skills
- Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences
- Able to effectively lead meetings, to document work for reproduction, to write persuasively
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