Remote Data Scientist - Energy Analytics

Placements24; Willows (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Health, dental, and vision insurance

Generous annual leave and paid public

Job summary

Placements24 is partnering with a pioneering energy company to hire a remote Data Scientist. You will develop predictive models, clean and analyze large energy datasets, and visualize insights for stakeholders across the business.

Join a globally distributed, remote-first team focused on energy production, consumption, and market trends. The role requires strong Python/R skills, 5+ years of experience, and a track record of deploying machine learning solutions in a data-rich environment.

Qualifications

• Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of hands-on experience as a Data Scientist with a proven track record in developing and deploying machine learning models.
• Proficiency in Python or R and libraries such as Pandas, NumPy, Scikit-learn.
• Strong experience with SQL and relational databases.
• Familiarity with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Experience in the energy sector or energy-related datasets is advantageous.
• Excellent problem-solving, communication, and independence in remote settings.

Responsibilities

• Design, develop, and implement machine learning models and algorithms to analyze energy-related data.
• Extract, clean, and transform large, complex datasets from various sources, ensuring data quality.
• Develop data visualizations and dashboards to communicate insights to technical and non-technical stakeholders.
• Collaborate with domain experts to translate business needs into data science solutions.
• Identify patterns in energy consumption, production efficiency, and market dynamics to provide actionable recommendations.
• Conduct A/B testing and experiments to evaluate interventions.
• Stay current with advances in data science, ML, and AI within energy domain.
• Document methodologies, code, and results for reproducibility and knowledge sharing.

Skills

Python

R

Pandas

NumPy

Scikit-learn

SQL

Spark

Hadoop

AWS

Azure

GCP

Energy data experience

Communication

Education

Master's or PhD in a quantitative field

Tools

Spark

Hadoop

Job description

About the Role

Our client, a pioneering force in the Energy sector, is expanding its data analytics capabilities and is seeking a talented and motivated Remote Data Scientist to join their innovative team. This fully remote position allows you to leverage your advanced analytical skills to extract valuable insights from vast datasets related to energy production, consumption, and market trends. You will play a crucial role in developing predictive models, optimizing operational efficiency, and informing strategic decision-making across the organization, all from the comfort of your chosen location. We are committed to building a globally distributed, high-performing team that drives innovation and excellence. This role is ideal for an independent, results-oriented professional who thrives in a remote-first environment and is passionate about applying data science to solve complex energy challenges.

Key Responsibilities

• Design, develop, and implement machine learning models and statistical algorithms to analyze energy-related data.
• Extract, clean, and transform large, complex datasets from various sources, ensuring data quality and integrity.
• Develop data visualizations and dashboards to communicate insights and findings to technical and non-technical stakeholders.
• Collaborate with domain experts across different departments to understand business needs and translate them into data science solutions.
• Identify patterns and trends in energy consumption, production efficiency, and market dynamics to provide actionable recommendations.
• Conduct A/B testing and other experimental designs to evaluate the impact of interventions.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence, particularly within the energy domain.
• Contribute to the development of data infrastructure and best practices for remote team collaboration.
• Effectively document methodologies, code, and results for reproducibility and knowledge sharing.

Requirements

• Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of hands-on experience as a Data Scientist, with a proven track record in developing and deploying machine learning models.
• Proficiency in programming languages such as Python or R, and expertise in data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Strong experience with SQL and working with relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Experience in the energy sector or with energy-related datasets is highly advantageous.
• Excellent problem-solving, critical thinking, and communication skills.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.
• Must have reliable high-speed internet access and a suitable home office environment.

Benefits

• Highly competitive remote salary and potential for performance-based bonuses.
• Flexible working hours to accommodate different time zones.
• Comprehensive health, dental, and vision insurance plans.
• Generous annual leave and paid public holidays.
• Provision for home office setup and technology stipends.
• Opportunities for continuous learning, virtual conferences, and professional growth within the leading Energy company.