Remote Data Scientist - Predictive Analytics (Oil & Gas)

Placements24; Benoni; Hybrid; ZAR 1,439,000 - 2,398,000; Full time

Benefits offered by this job

Competitive salary plus bonuses

Fully remote work arrangement

Health/dental/vision insurance

Professional development allowance

Access to cutting-edge data science工具

Job summary

Placements24 is seeking a remote Data Scientist specialized in predictive analytics to join a forward-thinking team in the Oil & Gas sector. You will develop and deploy ML models using large datasets from exploration, production, and operations to drive efficiency and asset reliability.

The role offers fully remote work, collaboration with global teams, and a focus on cutting-edge techniques, data pipelines, and communication of results to both technical and non-technical stakeholders.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist, with a focus on building and deploying predictive models.
• Strong programming skills in Python or R, including libraries like TensorFlow, PyTorch, Scikit-learn, Pandas.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Familiarity with concepts in the Oil & Gas industry is highly advantageous.
• Excellent analytical, problem-solving, and communication skills for remote collaboration.

Responsibilities

• Develop, train, and deploy machine learning models for predictive maintenance, production forecasting, and anomaly detection.
• Analyze large, complex datasets from various sources (IoT sensors, operational logs, geological surveys) to extract actionable insights.
• Design and implement data pipelines for efficient data ingestion, cleaning, and feature engineering.
• Collaborate with domain experts in the Oil & Gas sector to understand business needs and translate them into data science solutions.
• Communicate complex findings and model results to technical and non-technical stakeholders through visualizations and reports.
• Stay current with the latest advancements in data science, machine learning, and big data technologies.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

Pandas

Education

Master's or PhD in Data Science

Tools

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is looking for an innovative Remote Data Scientist with a specialization in predictive analytics to join their forward-thinking team, supporting operations within the Oil & Gas industry . This role is fully remote, allowing you to contribute from anywhere. You will leverage vast datasets from exploration, production, and operational activities to develop advanced machine learning models that drive efficiency, predict equipment failures, and optimize resource allocation. This is an exceptional opportunity to apply cutting-edge data science techniques to solve complex challenges in a dynamic sector, working autonomously and collaborating with teams globally, contributing to data-driven decision-making regardless of location.

Key Responsibilities

• Develop, train, and deploy machine learning models for predictive maintenance, production forecasting, and anomaly detection.
• Analyze large, complex datasets from various sources (e.g., IoT sensors, operational logs, geological surveys) to extract actionable insights.
• Design and implement data pipelines for efficient data ingestion, cleaning, and feature engineering.
• Collaborate with domain experts in the Oil & Gas sector to understand business needs and translate them into data science solutions.
• Communicate complex findings and model results to technical and non-technical stakeholders through visualizations and reports.
• Stay current with the latest advancements in data science , machine learning, and big data technologies.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist , with a focus on building and deploying predictive models.
• Strong programming skills in Python or R, including libraries like TensorFlow, PyTorch, Scikit-learn, Pandas.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Familiarity with concepts in the Oil & Gas industry is highly advantageous.
• Excellent analytical, problem-solving, and communication skills for remote collaboration.

Benefits

• Highly competitive salary and performance-based bonuses.
• Fully remote work arrangement, offering exceptional flexibility.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for professional development, conferences, and online courses.
• Opportunity to work on impactful projects utilizing state-of-the-art data science tools.