Data Scientist_ Remote

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2

Skills

Python
Data Visualization
Databricks
Energy
Data Science
Cloud Computing
Machine Learning (ML)
Big Data
Stakeholder Management
matplotlib
NumPy
Amazon Web Services
Apache Spark

Job Details

One of our Oil & Gas client is seeking a professional Data Scientist who can start immediately on an ongoing project. This is 100% Remote opportunity. Candidates should have exceptional communication as it requires Stakeholder Management and Presentations.

Interested candidates please share resumes asap.

Overview:

Team works on predictive models related to machine vision work (maintenance, anomaly detection, etc. to prevent injuries and breakdowns). Big data stream, assets have sensors measuring heat and vibrations. Someone from an industrial or energy background would do well, not someone from purely academia / finance. This role is a generalist role and will assist the team on various projects.

This position will be required to visit stakeholders on site at the beginning of the contract, will not require additional travel.

Responsibilities:

  • Analyze structured and unstructured datasets to extract meaningful insights.
  • Build, test, and deploy predictive models using Python-based machine learning libraries.
  • Collaborate with stakeholders to understand business needs and translate them into data solutions.
  • Develop data pipelines and workflows, ideally within Databricks.

Required:

  • 5+ years of professional experience as a Data Scientist.
  • Experience working with clients in the industrial or energy sector(experience working on models related to physical assets, not financial forecasting).
  • Proficient in Python and related data science libraries (e.g., Pandas, NumPy, Scikit-learn, etc.).
  • Familiarity withDatabricks or similar cloud-based data platforms (e.g., Spark, Azure, AWS).
  • Hands-on experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.