NextGenPros Inc
Data Scientist with Oil & Gas Domain
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position requiring 13+ years of experience, specializing in the oil & gas domain. It is a remote contract with occasional travel to Houston, Texas. Proficiency in Python, R, SQL, and cloud platforms is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Monitoring #PyTorch #R #Spark (Apache Spark) #ML (Machine Learning) #Python #SQL (Structured Query Language) #Azure #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Data Science #Cloud #Version Control #TensorFlow #Big Data
Role description
Role: Data scientist (Oil & Gas Experience is Must)
Location: Remote (Will travel occasionally to Houston, Texas - client will bear expenses)
Type: Contract
Key Responsibilities:
Job Description: -
13+ Years of total experience.
Experience in data science, with a proven track record of leading projects end-to-end.
Technical Proficiency: - Expert in Python, R, SQL, and machine learning frameworks like TensorFlow, PyTorch, Scikit-learn.
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and big data tools (e.g., Spark).
Familiar with MLOps tools, version control, CI/CD pipelines, and model monitoring.
Domain Exposure: Prior experience in the energy sector, especially oil & gas.
Role: Data scientist (Oil & Gas Experience is Must)
Location: Remote (Will travel occasionally to Houston, Texas - client will bear expenses)
Type: Contract
Key Responsibilities:
Job Description: -
13+ Years of total experience.
Experience in data science, with a proven track record of leading projects end-to-end.
Technical Proficiency: - Expert in Python, R, SQL, and machine learning frameworks like TensorFlow, PyTorch, Scikit-learn.
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and big data tools (e.g., Spark).
Familiar with MLOps tools, version control, CI/CD pipelines, and model monitoring.
Domain Exposure: Prior experience in the energy sector, especially oil & gas.
