Business Data Scientist

  • Tulsa, OK
  • Posted 19 hours ago | Updated 19 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Business Data Scientist
Business Data
Artificial Intelligence
Business Intelligence
Cloud Computing
Analytical Skill
Data Visualization
Machine Learning (ML)
Process Improvement
Statistical Models
Market Intelligence
Conflict Resolution
Data Analysis

Job Details

Job Title: Business Data Scientist
Job Location: Tulsa, OK - Hybrid - Preferring a local independent resource

Job Description:

  • As a Business Data Scientist I, you will assist with building sophisticated models, generating insights, applying artificial intelligence and business intelligence reporting to assist in identifying business opportunities. You'll work with market intelligence partners across the business to develop appropriate solutions. An understanding of programming language, a curiosity for problem solving and a process improvement approach are keys to success.

Responsibilities/Expectations:

  • Develops, implements, and supports business intelligence reporting and advanced analytical model development, architecture, data availability and data models.
  • Creates scalable, efficient, and automated processes for large scale data analyses, model development, model validation, and model implementation.
  • Streamlines user interfaces and data visualization tools to make data analyses more effective and accessible.
  • Assists with the development of descriptive, predictive and/or prescriptive statistical models to solve business problems.
  • Works with large data sets in a hybrid cloud environment across multiple source systems, machine learning, artificial intelligence and other advanced statistical methods.
  • Work with other internal partners to develop data solutions.
  • Other duties as assigned.

Required Qualifications:

  • Bachelor s degree in information technology, Engineering, Business or related 2 (two) years\' experience supporting database development, data analytics and/or experience in the natural gas industry.
  • Power platform skills specifically building power applications, power pages and power automation.
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