Remote Senior Data Scientist - Energy Analytics

Placements24; Willows (CA); Remote; USD 71,000 - 106,000; Full time

Benefits offered by this job

Competitive salary with bonuses

Health benefits

Remote work from SA

Professional development budget

Job summary

Placements24 is seeking a Remote Senior Data Scientist for a leading energy-industry client. You will design ML models, process large energy datasets, and deploy analytics in production, leveraging Spark, Hadoop, Python/R to extract actionable insights.

The role emphasizes independent, mentorship-oriented work, cross-functional collaboration, and the ability to influence energy market decisions with advanced analytics.

Qualifications

• 5+ years of professional data science experience with ML and statistics.
• Proficient in Python or R and ML libraries.
• Experience with big data tools such as Spark and Hadoop.

Responsibilities

• Design and implement ML models and statistical analyses for energy data.
• Process large datasets and build analytical pipelines.
• Identify trends to inform business decisions and optimize operations.
• Collaborate with engineers and stakeholders to deploy solutions.
• Mentor junior data scientists and contribute to team growth.
• Communicate findings clearly to technical and non-technical audiences.
• Stay updated on ML and AI advancements and assess applicability.
• Develop production-ready analytics solutions.

Skills

5+ years data science experience

Remote work capable

Strong communication skills

Mentor junior data scientists

Problem solving

Education

Master's or Ph.D. in Data Science/CS/Statistics/Math/Physics

Tools

Spark

Hadoop

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

Job description

About the Role

Our client, a leading innovator in the Energy sector, is looking for a highly skilled and experienced Remote Senior Data Scientist to join their analytics division. This fully remote position is based out of Welkom, Free State, and will focus on leveraging advanced data science techniques to extract actionable insights from vast datasets related to energy production, consumption, and market trends. You will be instrumental in developing predictive models, optimizing resource allocation, and driving data-informed decision-making across the organization. The ideal candidate is a self-starter with a passion for solving complex problems using data, possessing a strong background in statistical modeling, machine learning, and big data technologies. This is a fantastic opportunity for a data science expert to make a significant impact in a forward-thinking company, contributing to the future of energy through advanced analytics, with the full flexibility of a remote role.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models and statistical analyses to address key business challenges in the energy domain.
• Clean, process, and transform large, complex datasets from various sources to prepare them for analysis.
• Identify trends, patterns, and insights within energy data to inform strategic decisions and improve operational efficiency.
• Develop and maintain data pipelines and analytical infrastructure.
• Collaborate with domain experts, engineers, and business stakeholders to define analytical problems and deliver impactful solutions.
• Communicate complex findings and recommendations clearly and concisely 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 our client's needs.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Develop and deploy analytical solutions into production environments.
• Contribute to data strategy and roadmap development.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist or in a similar quantitative role, with a strong focus on machine learning and statistical modeling.
• Proven experience working with large datasets and big data technologies (e.g., Spark, Hadoop).
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning) and their applications.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.
• Domain knowledge in the Energy sector is highly desirable.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits package.
• Generous paid time off and flexible working hours.
• Professional development budget for conferences, courses, and certifications.
• Opportunity to work remotely from anywhere within South Africa, with a focus on the Welkom region's impact.
• Cutting-edge technology and challenging analytical problems.