Data Scientist - Energy Analytics (Remote)

Placements24; Riverton (UT); Teletrabalho; USD 130 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Health insurance

Remote work

Resumo da oferta

Placements24 invites a highly skilled Data Scientist to join its advanced analytics team in a fully remote role focused on the energy sector. You will develop predictive models, analyze large datasets from meters, networks, and markets, and translate insights into business intelligence.

The ideal candidate has 5+ years in energy analytics, strong ML/mathematical modeling skills, and experience with Python/R, Spark, Hadoop, and SQL.

Qualificações

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Physics, or related quantitative field.
• Minimum of 5 years of experience as a Data Scientist with focus on energy analytics or similar domains.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistical modeling, ML algorithms, and data mining techniques.
• Experience with big data technologies (Spark, Hadoop) and SQL.

Responsabilidades

• Develop, implement, and deploy ML models for energy forecasting, anomaly detection, and performance optimization.
• Analyze large datasets from diverse sources (e.g., smart meters, sensor networks, market data) to uncover trends.
• Design and conduct experiments to test hypotheses and validate model performance.
• Collaborate with domain experts to translate business requirements into DS problems.
• Communicate findings clearly to technical and non-technical audiences.
• Build and maintain data pipelines and analytical tools for ongoing research and analytics.

Conhecimentos

Analytical thinking

Communication

Independent work

Team collaboration

Formação académica

Master's/PhD in Data Science or related field

Ferramentas

Python

R

scikit-learn

TensorFlow

PyTorch

Spark

SQL

Hadoop

Descrição da oferta de emprego

About the Role

Our client is seeking a highly skilled and innovative Data Scientist to join their advanced analytics team. This is a fully remote position, allowing you to leverage data to drive insights and strategies within the energy sector from anywhere. You will be instrumental in developing predictive models, analyzing large datasets, and extracting valuable information to optimize energy generation, distribution, and consumption. The ideal candidate possesses a strong background in machine learning, statistical modeling, and a passion for solving complex challenges in the energy industry. You will work collaboratively with engineers and business stakeholders to translate data into actionable business intelligence.

Key Responsibilities

• Develop, implement, and deploy machine learning models for energy forecasting, anomaly detection, and performance optimization.
• Analyze vast datasets from diverse sources (e.g., smart meters, sensor networks, market data) to uncover trends and insights.
• Design and conduct experiments to test hypotheses and validate model performance.
• Collaborate with domain experts to understand business requirements and translate them into data science problems.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Build and maintain data pipelines and analytical tools to support ongoing research and operational analytics.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a focus on energy analytics or similar complex domains.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and database querying (SQL).
• Excellent problem-solving skills and the ability to work independently in a remote setting .

Benefits

• Highly competitive salary and potential for performance-based equity or bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Access to cutting-edge technology and significant data resources.
• Full remote work flexibility, enabling work-life balance.
• Opportunity to make a significant impact on the future of the energy industry through data-driven innovation.