Senior Data Scientist - Remote

Placements24; Klerksdorp; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Bonuses that reward performance

Health coverage

Home office stipend

Unlimited paid time off

Learning opportunities

Job summary

Placements24 is seeking a Senior Data Scientist to join a fully remote team focused on oil and gas analytics. You will build predictive models, work with large datasets, and drive data-informed decisions.

You will mentor peers, collaborate with domain experts, and stay at the forefront of ML/AI advancements to deliver impactful solutions in a remote setting.

Qualifications

• Ph.D. or Master’s in data science, CS, statistics, or related field.
• 8+ years of professional data science experience with predictive modeling.
• Proficient in Python or R and ML libraries such as TensorFlow or PyTorch.
• Strong SQL/NoSQL experience and data warehousing concepts.
• Excellent communication and remote collaboration skills.

Responsibilities

• Design and deploy ML models for predictive maintenance, anomaly detection, and forecasting.
• Ingest and clean large datasets from diverse sources for modeling.
• Collaborate with domain experts to translate business problems into data solutions.
• Present findings clearly to technical and non-technical stakeholders.
• Stay current with ML/AI advances and mentor junior data scientists.
• Contribute to data science best practices within the team.

Skills

Python or R

ML libraries

SQL/NoSQL

Data warehousing

Remote collaboration

Communication

Education

PhD or Master’s in Data Science/CS/Statistics

Tools

TensorFlow

PyTorch

scikit-learn

Job description

About the Role

Our client is looking for an accomplished Senior Data Scientist to join their fully remote team. This role will leverage advanced analytics, machine learning, and statistical modeling to extract actionable insights from vast datasets related to oil and gas exploration, production, and operations. You will be instrumental in developing predictive models, optimizing processes, and driving data-informed decision-making across the organization. The ideal candidate thrives in a remote environment, possesses exceptional problem-solving skills, and has a proven track record of delivering impactful data-driven solutions in the energy sector, working autonomously to push the boundaries of what's possible with data.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models for tasks such as predictive maintenance, anomaly detection, and production forecasting.
• Extract, clean, and transform large, complex datasets from various sources, ensuring data quality and integrity.
• Collaborate with domain experts to understand business challenges and translate them into data science problems.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders through visualizations and reports.
• Stay current with the latest advancements in data science, machine learning, and AI, and evaluate their potential applications.
• Mentor junior data scientists and contribute to the development of best practices within the data science team.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 8+ years of professional experience as a Data Scientist, with a focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and expertise in libraries like TensorFlow, PyTorch, Scikit-learn.
• Strong experience with SQL and NoSQL databases, and data warehousing concepts.
• Demonstrated ability to handle large, unstructured datasets and deliver end-to-end data science projects.
• Excellent communication skills and experience working effectively in a remote team environment.

Benefits

• Highly competitive salary and annual performance-based bonuses.
• Comprehensive health, dental, and vision insurance for you and your dependents.
• Generous home office stipend and equipment budget.
• Unlimited paid time off and flexible working hours.
• Opportunities for continuous learning, online courses, and conference attendance.