Data Scientist

Overview

On Site
USD 55.00 - 60.00 per hour
Contract - Independent

Skills

Impact Analysis
Information Assurance
Information Architecture
Advanced Analytics
Testing
Data Engineering
Analytics
Data Modeling
Normalization
Data Quality
Performance Management
Machine Learning (ML)
Regression Analysis
Supervised Learning
Unsupervised Learning
Natural Language
Modeling
Communication
Geospatial Analysis
Data Structure
Remote Sensing
Geographic Information System
Satellite
CGI
Visualization
Tableau
GL
Privacy
Marketing

Job Details

Location: Urbandale, IA
Salary: $55.00 USD Hourly - $60.00 USD Hourly
Description:
Job Title: Data Scientist

Location: Austin TX/ 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:
  • 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


Qualification :
  • 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 Visualization tools such as Tableau, Kepler.gl, etc.

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Contact:

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