Remote Data Scientist – Renewable Energy Analytics

Maple Ridge LLC; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

health insurance

retirement plans

opportunities for professional develop

access to training programs and/worksh

work-life balance

flexible work arrangements

Job summary

Maple Ridge LLC is seeking a Data Scientist for a fully remote position based in Seattle, WA. The role focuses on analyzing data, building predictive models, and driving data-driven decisions in renewable energy initiatives. The position offers flexible work arrangements and opportunities for professional development.

You will collaborate with the Seattle team, analyze complex datasets, and communicate insights to stakeholders to guide strategic actions and energy optimization efforts.

Qualifications

• Master's degree in Data Science, Statistics, or a related field.
• 3+ years of experience in data analysis and modeling.
• Proficiency in Python, R, and SQL.

Responsibilities

• Develop and implement data-driven solutions for renewable energy business problems.
• Analyze large datasets to identify trends and insights for strategic decisions.
• Build and maintain machine learning models to predict energy consumption and generation.
• Collaborate with cross-functional teams to translate business needs into technical requirements.
• Communicate findings to stakeholders clearly and persuasively.
• Improve data infrastructure and processes for accuracy and timeliness.
• Stay updated with latest data science advancements and apply them to work.
• Mentor junior team members and support their growth.

Skills

Python

R

SQL

Machine learning

Data analysis

Education

Master's degree in Data Science

Tools

Tableau

Power BI

Job description

Maple Ridge LLC is seeking a Data Scientist for a fully remote position based in Seattle, WA. The role focuses on analyzing data, building predictive models, and driving data-driven decisions in renewable energy initiatives. The position offers flexible work arrangements and opportunities for professional development.

You will collaborate with the Seattle team, analyze complex datasets, and communicate insights to stakeholders to guide strategic actions and energy optimization efforts.