Data Scientist

2T Consulting

Posted On: Oct 07, 2024

Posted On: Oct 07, 2024

Job Overview

Job Type

Contract - Corp-to-Corp, Contract - Independent, Contract - W2

Experience

10 - 19 Years

Salary

$75 - $80 Per Hour

Work Arrangement

Remote

Travel Requirement

0%

Required Skills

  • machine learning
  • cloud
  • Python
  • R
Job Description

Our Client is looking for skilled Data Scientist to join their team, specializing in the energy industry. In this role, you will work with complex, real-world datasets to derive insights and develop machine learning models at scale. Your expertise will be critical in driving data-driven decision-making and innovation within our organization.

Responsibilities
  • Analyze and interpret complex, messy datasets from the energy sector to extract meaningful insights.
  • Develop and implement machine learning models (e.g., classification, clustering, decision trees, artificial neural networks, regression) to solve business problems.
  • Clean, validate, and preprocess data to ensure high-quality inputs for analysis and modeling.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to improve processes and outcomes.
  • Utilize programming languages (e.g., Python, R) to manipulate large datasets and draw actionable insights.
  • Work with cloud platforms (Azure or other) to deploy machine learning models and manage data workflows.
  • Monitor and maintain model performance, iterating on designs as necessary to enhance accuracy and reliability.

 

Required Experience/Skills
  • Proven experience working with real-world, messy data, particularly within the energy industry.
  • Demonstrated experience with machine learning work at scale, including developing and deploying models in a cloud environment.
  • Proficient in data cleaning and validation techniques to ensure data integrity.
  • Strong programming skills in languages such as Python or R for data manipulation and analysis.
  • Knowledge of various machine learning models, including classification, clustering, decision trees, artificial neural networks, and regression techniques.

Job ID: 2C240419


Posted By

Shayne

Sr. Recruiter


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