Remote Senior Data Scientist - Energy Analytics

Placements24; Gqeberha; Hybrid; ZAR 1,200,000 - 1,750,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Retirement plan

Growth opportunities

Job summary

Placements24 is recruiting a Senior Data Scientist to join a remote Energy Analytics team. You will design and implement advanced ML models on energy data, build robust data pipelines, and deliver actionable insights to influence business decisions.

The ideal candidate holds a PhD or Master's in a quantitative field, has 5+ years of experience, and is proficient in Python or R, SQL, and modern ML frameworks. You will thrive in a distributed, async environment and mentor junior team members.

Qualifications

• Ph.D./Master's in a quantitative field.
• At least 5 years of professional data science experience.
• Proficiency with ML algorithms and statistical modeling.

Responsibilities

• Design, develop, and implement advanced machine learning models and statistical algorithms to analyze energy data.
• Extract, clean, and transform large, complex datasets from various sources, ensuring data integrity and accuracy.
• Identify trends, patterns, and insights within energy consumption, generation, and market data to inform business strategies.
• Develop and maintain data pipelines and analytical workflows for reporting and visualization.
• Collaborate with cross-functional teams, including data engineers, domain experts, and business stakeholders, to define analytical requirements and deliver solutions.
• Communicate complex findings and recommendations clearly and effectively through presentations and written reports.
• Mentor junior data scientists and contribute to the team's technical knowledge base.
• Stay current with the latest advancements in data science, machine learning, and energy analytics.
• Ensure the ethical and responsible use of data in all analytical processes.

Skills

Data Science experience

ML & statistics

Python or R

Big data technologies

Data visualization

Remote work / self-management

Communication skills

Education

Master's or PhD in a quantitative field

Tools

Pandas / NumPy

Scikit-learn

TensorFlow / PyTorch

SQL

Spark / Hadoop

Tableau

Job description

About the Role

Our client is seeking a highly skilled and experienced Senior Data Scientist to join their innovative Energy Analytics team, operating entirely remotely. This role is instrumental in leveraging advanced data science techniques to extract actionable insights from vast datasets related to energy consumption, generation, and market trends. You will be responsible for developing sophisticated predictive models, performing complex statistical analyses, and contributing to data-driven decision-making across the organization. The ideal candidate is a self-starter with a strong background in machine learning, statistical modeling, and programming, coupled with a passion for the energy sector. This is a unique opportunity to work from anywhere in the world, contributing to cutting-edge analytics for a leading energy company. The role is fully remote, emphasizing collaboration and asynchronous communication through digital platforms.

Key Responsibilities

• Design, develop, and implement advanced machine learning models and statistical algorithms to analyze energy data.
• Extract, clean, and transform large, complex datasets from various sources, ensuring data integrity and accuracy.
• Identify trends, patterns, and insights within energy consumption, generation, and market data to inform business strategies.
• Develop and maintain data pipelines and analytical workflows for reporting and visualization.
• Collaborate with cross-functional teams, including data engineers, domain experts, and business stakeholders, to define analytical requirements and deliver solutions.
• Communicate complex findings and recommendations clearly and effectively through presentations and written reports.
• Mentor junior data scientists and contribute to the team's technical knowledge base.
• Stay current with the latest advancements in data science, machine learning, and energy analytics.
• Ensure the ethical and responsible use of data in all analytical processes.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a proven track record of delivering impactful analytical solutions.
• Extensive experience with machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling techniques.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical, problem-solving, and critical thinking skills.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.
• Strong communication and interpersonal skills, with the ability to collaborate effectively across distributed teams.
• Prior experience in the energy sector is a significant advantage.

Benefits

This is a fully remote position, offering the flexibility to work from any location.

Our client provides a competitive salary, comprehensive health benefits, retirement savings plan, and opportunities for professional growth and development.

You will be part of a globally distributed, collaborative team working on challenging problems in the energy domain, with access to advanced tools and resources.

This role is ideal for an experienced data scientist seeking impactful work without geographical constraints.