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E Source
Data Scientist, Applied Meteorology (Level II-IV) - REMOTE
Jun 22, 2024
Full Job Description

Job Details

Level:    Experienced Position Type:    Full Time Salary Range:    $90,000.00 - $145,000.00 Salary/year Travel Percentage:    Negligible Job Shift:    Day

Description

Are you an experienced data scientist looking to join an industry-leading team? We’re looking to add expertise in our applied meteorology area and are considering levels II through IV in seniority.

E Source develops groundbreaking data science applications that change the way utilities understand and manage their networks. We tackle challenging projects like forecasting the impact of severe weather on utility networks and optimizing vegetation management strategies. To conduct these projects, we leverage a combination of machine-learning models, inference-based statistics, and remote-sensing applications. Each project or product is collaboratively developed in-house by a data science team of diverse professional backgrounds and domain expertise. Ultimately, our work helps utilities enhance their electric reliability and prepare to adopt and deploy cutting-edge green energy technology.

What you’ll do

  • Fit and assess predictive models leveraging numerical weather forecasts and other data sources in Python
  • Analyze retrospective and forward-looking impact of weather on the utility grid
  • Collaborate with a broader data science and engineering team to take projects and products from inception to client delivery

What will make you a good fit

Required qualifications:

  • MS in atmospheric science, meteorology, engineering, mathematics, statistics or similar field of study, plus one year of applied experience or PhD with applied analysis in aforementioned field of study
  • Minimum three years of experience conducting data science projects using spatial-temporal weather datasets in industry or applied research, including analytical design, managing schedules, and communicating results to stakeholders
  • Extensive experience fitting and assessing predictive models leveraging numerical weather forecasts in Python
  • Experience conducting all phases of analysis, including data compilation, EDA, feature engineering, and generating deliverables
  • Experience working as part of a larger data science team, collaborating with technical and nontechnical peers and stakeholders

Preferred qualifications:

  • Domain expertise using remotely sensed weather observations
  • Domain expertise using numerical weather prediction models (e.g., GFS, NAM, HRRR)
  • Experience leveraging cloud computing infrastructure (e.g., AWS)
  • Domain expertise in the utility space (electric, gas, water)

A little about E Source

Utilities across the US and Canada face the same fundamental, day-to-day challenges: to ensure reliable service for every customer while maintaining and modernizing aging distribution networks and meeting regulatory requirements—all while keeping rates affordable. At the same time, climate change has created a common, universal call to action: to reduce our carbon impact, improve our environment, and ensure the prosperity of future generations.

At E Source, we’re dedicated to helping every utility become a Sustainable Utility. That means doing the hard work it takes to achieve goals that often seem at odds with one another:

  • Environmental responsibility: Decarbonizing operations, reducing emissions, eliminating water leaks, and finding efficiencies
  • Reliability: Providing safe, continuous, and consistent service in the face of increasing volatility caused by climate change, including extreme weather, drought, and fire
  • Equity: Making services and programs truly available to all, especially low- and moderate-income residential customers and small and midsize businesses who are often disproportionately impacted by societal events
  • Financial stability: Ensuring a bottom line that affords capital and operational expenditures while enabling innovation and giving back to our communities

E Source blends industry-leading research, predictive data science, and solution services to help utilities make better decisions to serve their customers, their bottom line, and our planet. With a commitment to practical innovation, we use more than three decades of utility-focused experience and our unique solution set to help our clients become a Sustainable Utility.

Benefits

  • We offer excellent insurance packages, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; and medical and dependent-care flexible spending plans.
  • We provide a flexible time off (FTO) program; E Source employees can take as many paid days off per year as they need, with manager approval, while fulfilling their work obligations and ensuring proper coverage of their responsibilities.
  • We offer flexible schedules, flexible work locations, and a paid parental leave benefit.
  • We provide a 401(k)/RRSP plan with a 3% employer match.

The budgeted salary for this position is $90,000 to $145,000 USD + annual bonus up to 8% (depending on level). Actual pay will be adjusted based on experience.

This role will be 100% remote.

Applicants must be authorized to work for any employer in the US. We’re unable to sponsor or take over sponsorship of employment visas at this time.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source.  Employees who are interested in similar job opportunities in the future should visit the E Source careers page for a listing of all open positions and contact Human Resources to express interest.   

We contact applicants directly via email using only our designated company email addresses with the domain of @esource.com. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses.

#LI-Remote

#LI-SC1

Qualifications


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Data Scientist, Applied Meteorology (Level II-IV) - REMOTE
E Source
Jun 22, 2024
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