Remote Data Scientist - Energy Analytics

Placements24; Pretoria; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Access to cutting-edge data science工具s

Conference attendance

Job summary

Placements24 is seeking a highly skilled Remote Data Scientist to join our energy analytics team. You will analyze large energy datasets, build models to predict trends, and optimize distribution and consumption from a fully remote setup.

You will communicate findings to both technical and non-technical stakeholders and collaborate with cross-functional teams to drive data-informed decisions in the energy sector.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Scientist with a strong portfolio of analytical projects.
• Expertise in programming languages such as Python or R, and libraries like Pandas, Scikit-learn, TensorFlow.
• Proficiency with SQL and large databases/data warehousing experience.
• Strong understanding of statistical modeling, ML techniques, and experimental design.
• Excellent communication and collaboration skills, adept at remote work.

Responsibilities

• Develop and implement statistical models and ML algorithms to analyze energy datasets.
• Extract, clean, and transform complex data from various sources for analysis.
• Create data visualizations and reports for technical and non-technical stakeholders.
• Identify opportunities to improve operational efficiency and reduce costs through insights.
• Collaborate with engineering, operations, and product teams to translate findings into actions.
• Stay updated on latest advancements in data science and energy analytics.

Skills

Python/R

SQL

Statistics

Machine Learning

Communication

Education

Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field

Tools

Pandas

Scikit-learn

TensorFlow

SQL-based data warehousing

Job description

About the Role

Our client is actively seeking a highly skilled Remote Data Scientist to join their innovative team, focusing on advanced energy analytics . Based remotely, you will leverage vast datasets to uncover insights, predict energy trends, and optimize energy distribution and consumption for a leading energy provider. This role is crucial for driving data-informed decision-making across the organization, enhancing operational efficiency, and supporting the development of new energy solutions. You will be part of a forward-thinking company committed to utilizing data to shape the future of the energy landscape, all from the comfort of your own home.

Key Responsibilities

• Develop and implement statistical models and machine learning algorithms to analyze large datasets related to energy consumption, generation, and grid performance.
• Extract, clean, and transform complex data from various sources for analysis.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Identify opportunities to improve operational efficiency, reduce costs, and enhance service delivery through data insights.
• Collaborate with engineering, operations, and product teams to translate analytical findings into actionable business strategies.
• Stay abreast of the latest advancements in data science, machine learning, and energy analytics techniques.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Scientist with a strong portfolio of analytical projects.
• Expertise in programming languages such as Python or R, and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Proficiency with SQL and experience working with large databases and data warehousing solutions.
• Strong understanding of statistical modeling, machine learning techniques, and experimental design.
• Excellent communication and collaboration skills, adept at working in a fully remote environment.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Fully remote work arrangement, offering unparalleled flexibility.
• Access to cutting-edge data science tools and platforms.
• Opportunities for professional growth, continuous learning, and conference attendance.
• Work on impactful projects at the intersection of data science and the critical energy sector .
• Contribute to shaping energy strategies from your home office, supporting Pretoria 's energy initiatives.