Data Scientist, Applied Meteorology (Level II-IV) - REMOTE

E Source; United States; Remote; USD 90,000 - 145,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist specializing in applied meteorology. This remote role offers the chance to work on innovative projects that leverage data science to enhance electric reliability and support green energy initiatives. You'll collaborate with diverse teams to develop predictive models and analyze weather impacts on utility networks. With a strong focus on teamwork and communication, this position provides an exciting opportunity to make a significant impact in the utilities sector. Enjoy a competitive salary, comprehensive benefits, and a flexible work environment that fosters growth and innovation.

Benefits

Comprehensive Insurance

Flexible Time Off

Paid Parental Leave

401(k) with Employer Match

Qualifications

• 1+ years of applied experience in data science or meteorology.
• Experience with spatial-temporal weather data and model development.

Responsibilities

• Fit and evaluate predictive models using numerical weather forecasts.
• Analyze weather impacts on utility grids and collaborate with teams.

Skills

Python

Data Analysis

Machine Learning

Stakeholder Communication

Education

MS in Atmospheric Science

PhD in Related Field

Tools

AWS

Numerical Weather Prediction Models

Job description

Data Scientist, Applied Meteorology (Level II-IV) - REMOTE

Join to apply for the Data Scientist, Applied Meteorology (Level II-IV) - REMOTE role at E Source

Data Scientist, Applied Meteorology (Level II-IV) - REMOTE

Join to apply for the Data Scientist, Applied Meteorology (Level II-IV) - REMOTE role at E Source

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Job Description

Are you an experienced data scientist looking to join an industry-leading team? We’re seeking expertise in applied meteorology at levels II through IV.

E Source develops innovative data science applications to help utilities understand and manage their networks. Our projects include forecasting severe weather impacts and optimizing vegetation management, using machine learning, statistics, and remote sensing. Our diverse team collaborates to create solutions that enhance electric reliability and support green energy adoption.

Responsibilities

• Fit and evaluate predictive models using numerical weather forecasts and other data in Python
• Analyze weather impacts on utility grids, both retrospectively and prospectively
• Collaborate with data science and engineering teams from project inception to delivery

Qualifications

Required

• MS in atmospheric science, meteorology, engineering, mathematics, statistics, or related field, with 1+ years of applied experience, or PhD with relevant analysis
• At least 3 years of experience with spatial-temporal weather data in industry or research, including model development and stakeholder communication
• Extensive Python experience fitting and assessing weather predictive models
• Experience with data analysis phases: data collection, EDA, feature engineering, deliverables
• Teamwork experience with technical and non-technical stakeholders

Preferred

• Expertise in remote sensing weather data
• Knowledge of numerical weather prediction models (e.g., GFS, NAM, HRRR)
• Experience with cloud platforms like AWS
• Utility industry domain knowledge (electric, gas, water)

About E Source

We help utilities address challenges like reliability, modernization, and climate impact through research, data science, and solutions, aiming to make utilities sustainable and resilient.

Benefits

• Comprehensive insurance, flexible time off, flexible schedules, and paid parental leave
• 401(k)/RRSP with 3% employer match

Salary ranges from $90,000 to $145,000 USD plus up to 8% bonus, adjusted for experience. This is a remote role with occasional travel. Applicants must be authorized to work in the US; visa sponsorship is not available.

We are an equal opportunity employer, committed to diversity and inclusion. Please apply via our careers page and note all communications will come from @esource.com email addresses.

Additional Details

• Seniority level: Mid-Senior
• Employment type: Full-time
• Job function: Engineering and IT
• Industry: Utilities