Senior Data Scientist - Remote Oil & Gas Analytics

Placements24; Benoni; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Home office stipend

Comprehensive remote work support

Job summary

Placements24 is seeking a Senior Data Scientist to join a fully remote analytics team serving the Oil & Gas industry. You will leverage large datasets to build predictive models, uncover insights, and drive data-informed decisions across exploration, production, and operations.

You will design and implement ML models for predictive maintenance and reservoir performance, analyze data from multiple sources, and communicate complex findings to technical and non-technical audiences.

Qualifications

• Requires 7+ years of professional Data Science experience.
• Experience in Oil & Gas or energy sector preferred.
• Proficient in Python or R and ML libraries.
• Strong knowledge of statistical modeling and data mining.
• Experience with big data tools and cloud platforms.

Responsibilities

• Develop and deploy ML models for predictive maintenance and optimization.
• Analyze large datasets from Oil & Gas value chain to extract insights.
• Design experiments to test hypotheses and validate models.
• Collaborate with engineers and stakeholders to translate requirements into solutions.
• Communicate findings clearly via visuals and reports to technical and non-technical audiences.
• Stay updated on ML/AI advancements and apply them to energy applications.

Skills

Python

R

Statistical modeling

Machine learning

Data mining

Education

Master's degree in Data Science

PhD in related field

Tools

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly skilled and innovative Senior Data Scientist to join their expanding analytics division, operating on a fully remote basis, serving the Oil & Gas industry. This pivotal role involves leveraging vast datasets to uncover insights, build predictive models, and drive data-informed decision-making across exploration, production, and operations. You will be at the forefront of applying advanced analytics and machine learning techniques to solve complex challenges, optimize processes, and uncover new opportunities within the energy sector. This is an exceptional opportunity for a talented data professional to shape the future of data utilization in a critical global industry from the comfort of their chosen location.

Key Responsibilities

• Develop and implement machine learning models for predictive maintenance, reservoir performance, and operational efficiency optimization.
• Analyze large, complex datasets from various sources within the Oil & Gas value chain to identify trends, patterns, and actionable insights.
• Design and execute experiments to test hypotheses and validate model performance.
• Collaborate with domain experts, engineers, and business stakeholders to understand requirements and translate them into data science solutions.
• Communicate complex findings and recommendations clearly through visualizations and reports to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and evaluate their applicability to the energy sector.

Requirements

• Master's or PhD degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of professional experience as a Data Scientist, with a strong preference for experience in the Oil & Gas industry or a closely related energy sector.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent analytical, problem-solving, and communication skills, with the ability to work independently and collaboratively in a remote setting.

Benefits

• Highly competitive salary and annual performance bonus.
• Comprehensive remote work support, including home office stipends.
• Top-tier health, dental, and vision insurance plans.
• Generous retirement savings plan with company matching.
• Significant opportunities for professional growth, attending industry conferences, and continuous learning in cutting-edge data science applications for the Oil & Gas sector.