Remote Data Scientist - Upstream Operations Analytics

Placements24

Vereeniging

Hybrid

ZAR 900,000 - 1,300,000

Full time

3 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Health insurance

Retirement savings plans

Continuous professional development

Flexible working hours

Fully remote role

Job summary

Placements24 is seeking a Remote Data Scientist for a global Oil & Gas client. You will develop and deploy ML models for predictive maintenance, anomaly detection, and production optimization while analyzing seismic and production data.

Work with geoscientists and engineers, build data pipelines, uphold data quality, and communicate insights through visuals. This fully remote role requires 5+ years in data science, strong Python/R and cloud skills, and strong collaboration across distributed

Qualifications

Master's or PhD in a quantitative field such as Data Science, CS, Stats, or Math.
5+ years of Data Scientist experience focusing on ML in energy or similar sector.
Proficiency in Python or R with libraries like TensorFlow, PyTorch, scikit-learn, Pandas, NumPy.
SQL and experience with large-scale databases; NoSQL a plus.
Experience with cloud platforms (AWS/Azure/GCP) and big data tools (Spark, Hadoop).
Strong statistical modeling, experimental design, and ML algorithm knowledge.
Excellent communication and ability to work remotely in distributed teams.

Responsibilities

Develop, implement, and deploy ML models for predictive maintenance, anomaly detection, and performance optimization of upstream assets.
Analyze large datasets related to geological surveys, seismic data, production volumes, and well performance.
Design and conduct A/B tests and experiments to evaluate new algorithms and models.
Collaborate remotely with geologists, engineers, and operations to understand data needs and provide insights.
Build data pipelines and ensure data quality, integrity, and availability for analysis.
Communicate complex findings clearly via visualizations and reports to technical and non-technical audiences.
Stay current with data science advances and applicability to Oil & Gas.
Develop and maintain documentation for models, algorithms, and data processes.
Contribute to overall data strategy and analytics best practices.
Ensure work adheres to data privacy and security standards.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Pandas/NumPy

SQL

NoSQL

AWS

Azure

GCP

Spark

Hadoop

Education

Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics, or related quantitative field

Tools

Spark

Hadoop

SQL

NoSQL

AWS

Azure

GCP

Job description

About the Role

Our client, a global leader in the Oil & Gas sector, is seeking a highly skilled and innovative Remote Data Scientist to join their expanding analytics division. This is a fully remote position, allowing you to contribute to critical upstream operations from anywhere. You will be instrumental in developing and deploying advanced analytical models to drive efficiency, optimize production, and enhance safety across our client's diverse portfolio of exploration and production assets. This role requires a deep understanding of data science principles, machine learning techniques, and a passion for applying these to solve complex challenges in the energy industry. You will work with large, complex datasets and collaborate with geoscientists, reservoir engineers, and operational teams to unlock valuable insights.

Key Responsibilities

Develop, implement, and deploy machine learning models for predictive maintenance, anomaly detection, and performance optimization of upstream assets.
Analyze large and complex datasets related to geological surveys, seismic data, production volumes, well performance, and operational parameters.
Design and conduct A/B tests and other experiments to evaluate the effectiveness of new algorithms and models.
Collaborate remotely with cross-functional teams, including geologists, reservoir engineers, and operations managers, to understand their data needs and provide actionable insights.
Build data pipelines and ensure the quality, integrity, and availability of data for analysis.
Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences through visualizations and reports.
Stay current with the latest advancements in data science, machine learning, and artificial intelligence, and explore their applicability to the Oil & Gas industry.
Develop and maintain documentation for models, algorithms, and data processes.
Contribute to the overall data strategy and best practices within the analytics team.
Ensure all work adheres to data privacy and security standards.

Requirements

Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
Proven experience (5+ years) as a Data Scientist, with a strong focus on applying machine learning and statistical modeling to real-world problems, preferably within the Oil & Gas or energy sector.
Expertise in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
Proficiency in SQL and experience working with large-scale databases (e.g., SQL Server, Oracle, NoSQL).
Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
Strong understanding of statistical modeling, experimental design, and machine learning algorithms.
Excellent problem-solving and analytical skills.
Exceptional communication and collaboration skills, with the ability to work effectively in a fully remote, distributed team environment.
Ability to work independently, manage priorities, and deliver results with minimal supervision.

Benefits

Our client provides a comprehensive benefits package, including health insurance, retirement savings plans, and continuous professional development opportunities.