Data Scientist

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, a prominent player in renewable energy, seeks a Data Scientist to join our team. This remote position, based in Seattle, WA, requires a FULL_TIME commitment. The salary is negotiable, and the role is open until 2026-11-23.

As a Data Scientist, you'll analyze complex data sets to identify trends and patterns. You'll develop predictive models and algorithms to support our renewable energy initiatives. You'll collaborate with cross-functional teams to translate data insights into actionable strategies.

You'll work closely with our team in Seattle, WA, contributing to our data-driven culture, where every decision is informed by data analysis and insights. This remote role offers flexibility, allowing you to work from anywhere while maintaining strong connections to our local community through regular virtual meetings and collaborative projects. We value diversity and inclusion in our workplace, fostering an environment where everyone's unique perspectives and experiences are respected and valued.

The salary for this position is negotiable, taking into account various factors such as the candidate's experience, skills, and qualifications. In addition to the competitive salary, the company offers a comprehensive benefits package that includes health insurance, retirement plans, and opportunities for professional development. Employees are also provided with access to training programs and workshops to enhance their skills and knowledge. The work environment is supportive and collaborative, fostering a sense of teamwork and mutual respect among colleagues. The company values work-life balance and offers flexible work arrangements to accommodate the needs of its employees.

You must have a Master's degree in Data Science, Statistics, or a related field. You should have 3+ years of experience in data analysis and modeling. Proficiency in Python, R, and SQL is required. Experience with machine learning and big data technologies is a plus.

The application deadline is set for November 23, 2026.

Responsibilities

• Develop and implement data-driven solutions to complex business problems in the renewable energy sector.
• Analyze large datasets to identify trends, patterns, and insights that can inform strategic decisions.
• Build and maintain machine learning models to predict energy consumption, generation, and other key metrics.
• Collaborate with cross-functional teams to translate business needs into technical requirements and solutions.
• Communicate findings and recommendations to stakeholders in a clear and compelling manner.
• Continuously improve our data infrastructure and processes to ensure we're always working with the most accurate and up-to-date information.
• Stay up-to-date with the latest advancements in data science and machine learning, and apply this knowledge to our work.
• Mentor and support junior team members in their professional development and growth.

Requirements

• A Master's degree in Data Science, Computer Science, Statistics, or a related field, or equivalent experience.
• 3+ years of experience in a data science or machine learning role, with a strong focus on business applications.
• Proficiency in programming languages such as Python and R, as well as experience with data analysis and visualization tools like Tableau or Power BI.
• A deep understanding of statistical methods and machine learning algorithms, with the ability to apply them to real-world problems.
• Experience working with large datasets and distributed computing frameworks like Hadoop or Spark.
• Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
• A passion for the renewable energy sector and a commitment to driving innovation in this space.
• A willingness to travel to our Seattle, WA office for team meetings and workshops, when required.

Benefits

• health insurance
• retirement plans
• opportunities for professional development
• access to training programs and workshops
• work-life balance
• flexible work arrangements