Data Scientist Opportunity

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Data Scientist in United States

Visa sponsorship & Relocation 1 year ago
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

  • 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

Experience -

  • 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.

Skills -

  • 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
Apply now

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