Remote Lead Data Scientist - Energy Analytics

Placements24; Sandton; Hybrid; ZAR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Generous paid time off

Job summary

Placements24 is seeking a Lead Data Scientist to steer energy analytics initiatives for a cutting-edge technology firm serving the Oil & Gas sector. This fully remote role requires guiding a team of data scientists, setting roadmaps, and delivering innovative ML solutions across the energy value chain.

The ideal candidate has 10+ years in data science, with at least 3 years in leadership, strong Python/R skills, and a track record in analytics-driven business impact.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 10 years of experience in data science, with at least 3 years in a lead or management role.
• Extensive experience with Python or R, and libraries such as scikit-learn, TensorFlow, PyTorch.
• Proven expertise in statistical modeling, ML algorithms, and data mining techniques.
• Experience with large-scale datasets and distributed computing frameworks (Spark).
• Strong understanding of Oil & Gas or related energy sectors is desirable.
• Excellent leadership, communication, and stakeholder management skills.
• Ability to work independently and lead projects remotely.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Responsibilities

• Lead the development and deployment of ML models and analytical solutions for energy challenges.
• Design data mining strategies to extract insights from large datasets.
• Develop predictive models for production optimization, equipment failure, and market forecasting.
• Collaborate with geoscientists and engineers to translate business needs into data science problems.
• Mentor and manage a team of data scientists, providing technical guidance.
• Define project scope, deliverables, and timelines for data science initiatives.
• Evaluate and implement new data science tools and methodologies.
• Communicate findings clearly to technical and non-technical stakeholders.
• Ensure data quality, integrity, and security for analysis.
• Stay at the forefront of AI, ML, and data science advancements.

Skills

Data mining

Statistical modeling

Predictive analytics

Team leadership

Stakeholder management

Python

R

Education

Master's or PhD in Computer Science/Statistics/Mathematics

Tools

scikit-learn

TensorFlow

PyTorch

Spark

AWS

Job description

About the Role

Our client, a cutting-edge technology firm serving the Oil & Gas industry, is seeking a visionary Lead Data Scientist to spearhead their energy analytics initiatives. This is a fully remote position, offering the opportunity to work with vast datasets and advanced machine learning techniques to drive insights and optimize operations across the energy value chain. You will lead a team of data scientists, define project roadmaps, and develop innovative solutions for complex business problems. The ideal candidate is an expert in data mining, statistical modeling, and predictive analytics, with a proven ability to translate data into actionable business intelligence. This role is crucial for advancing our clients' digital transformation efforts.

Key Responsibilities

• Lead the development and deployment of machine learning models and advanced analytical solutions for energy-related challenges.
• Design and implement data mining strategies to extract valuable insights from large, complex datasets.
• Develop predictive models for areas such as production optimization, equipment failure prediction, and market forecasting.
• Collaborate with domain experts (geoscientists, engineers) to understand business needs and translate them into data science problems.
• Mentor and manage a team of data scientists, providing technical guidance and fostering innovation.
• Define project scope, deliverables, and timelines for data science initiatives.
• Evaluate and implement new data science tools, technologies, and methodologies.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical stakeholders.
• Ensure the quality, integrity, and security of data used for analysis.
• Stay at the forefront of advancements in artificial intelligence, machine learning, and data science.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 10 years of experience in data science, with at least 3 years in a lead or management role.
• Extensive experience with programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proven expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark).
• Strong understanding of the Oil & Gas industry or related energy sectors is highly desirable.
• Excellent leadership, communication, and stakeholder management skills.
• Ability to work independently and lead projects effectively in a remote environment.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

• This fully remote position offers a highly competitive salary, performance bonuses.
• A comprehensive benefits package, including health insurance, retirement plans, and generous paid time off.
• Our client is dedicated to fostering a culture of continuous learning and offers excellent opportunities for professional development.
• Embrace the flexibility and autonomy of remote work while driving innovation in the energy sector from anywhere.
• Join a forward-thinking company committed to leveraging data for impactful solutions.