Remote Data Scientist - Oil & Gas Analytics

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Health coverage

Retirement savings

Performance bonuses

Remote work from anywhere

Continuous learning opportunities

Job summary

Placements24 is seeking a Remote Data Scientist to join their analytics group, focusing on oil and gas data. You will build predictive models, clean and integrate diverse datasets, and deliver dashboards for stakeholders worldwide. The role requires strong ML, statistical modeling, and programming in Python or R, with experience in cloud platforms and big data tools. This position offers full remote work and competitive compensation.

Qualifications

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or related field.
• 3-5 years of professional data science experience with applied analytics.
• Proficiency in Python or R and libraries such as pandas, scikit-learn, TensorFlow, PyTorch.
• Experience with SQL and large relational databases.
• Knowledge of Spark or Hadoop is a plus.
• Experience with cloud platforms AWS, Azure, or GCP.
• Strong statistical modelling and ML knowledge.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently in a remote setting.

Responsibilities

• Develop and implement statistical models and ML algorithms for large-scale oil and gas data.
• Extract, clean, and transform data from production, exploration, and ops systems.
• Build predictive models for equipment failure, production forecasting, and reservoir performance.
• Design and run A/B tests and other experiments to validate model performance.
• Visualize data and communicate findings to stakeholders.
• Collaborate with engineers and geoscientists to identify business problems.
• Develop dashboards and KPIs and contribute to data infrastructure.
• Stay current with ML/AI advancements.

Skills

Python

R

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS

GCP

Cloud computing

Data visualization

Remote collaboration

Education

Masters or PhD in Data Science / Statistics / Computer Science

Job description

About the Role

Our client, a globally recognized leader in energy technology solutions, is seeking a talented and driven Remote Data Scientist to join their innovative analytics team. This fully remote position will focus on leveraging big data to extract actionable insights from complex oil and gas datasets. You will play a crucial role in developing predictive models, optimizing operational performance, and driving data-driven decision-making across various upstream and downstream segments. The ideal candidate possesses a strong foundation in statistical modeling, machine learning, and programming, coupled with a deep understanding of the challenges and opportunities within the energy sector. This is an exciting opportunity to work from anywhere while contributing to cutting-edge advancements in the oil and gas industry.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to analyze large-scale oil and gas data.
• Extract, clean, and transform data from diverse sources, including production, exploration, and operational systems.
• Build predictive models for equipment failure, production forecasting, and reservoir performance.
• Design and conduct A/B tests and other experiments to validate model performance.
• Visualize data and communicate complex findings to technical and non-technical stakeholders.
• Collaborate with domain experts, engineers, and geoscientists to identify key business problems and opportunities.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Contribute to the development of data infrastructure and best practices.
• Develop dashboards and reporting tools to track key performance indicators (KPIs).
• Ensure data quality and integrity throughout the analysis process.

Requirements

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• 3-5 years of professional experience as a Data Scientist, with a strong focus on applied analytics.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and working with large relational databases.
• Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Strong understanding of statistical modelling, machine learning techniques, and data mining.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb communication and presentation skills, with the ability to explain complex concepts clearly.
• Proven ability to work independently and manage multiple projects in a remote setting.

Benefits

• This role offers a highly competitive salary and a comprehensive benefits package, including excellent health coverage, retirement savings options, and performance bonuses.
• As a fully remote position, you will enjoy the flexibility and work-life balance of working from home.
• Our client provides continuous learning opportunities through online courses, workshops, and access to industry conferences.
• You'll be part of a global, innovative team tackling some of the most exciting challenges in the energy sector, contributing to significant advancements through data analytics, regardless of your physical location.