
Energy • B2B • Artificial Intelligence
E Source is a solutions-based research, consulting, and data science firm that helps electric, gas, and water utilities across the US and Canada with decarbonization, electrification, customer experience, program innovation, and grid/asset optimization. For more than 30 years they have delivered advisory services, data-driven AI solutions, and implementation support to design cost-effective efficiency programs, modernize utility operations, and reduce operational costs while improving customer satisfaction and resilience.
201 - 500 employees
Founded 1986
⚡ Energy
🤝 B2B
🤖 Artificial Intelligence
October 24
🇺🇸 United States – Remote
💵 $90k - $145k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor

Energy • B2B • Artificial Intelligence
E Source is a solutions-based research, consulting, and data science firm that helps electric, gas, and water utilities across the US and Canada with decarbonization, electrification, customer experience, program innovation, and grid/asset optimization. For more than 30 years they have delivered advisory services, data-driven AI solutions, and implementation support to design cost-effective efficiency programs, modernize utility operations, and reduce operational costs while improving customer satisfaction and resilience.
201 - 500 employees
Founded 1986
⚡ Energy
🤝 B2B
🤖 Artificial Intelligence
• 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
• 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
• Excellent insurance options, including medical, dental, and vision plans; • company-paid life insurance; • company-paid long- and short-term disability insurance; • medical and dependent-care flexible spending plans. • A flexible time off (FTO) program where you 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. • Flexible schedules, flexible work locations, and a paid parental leave benefit. • A 401(k)/RRSP plan with a 3% employer match.
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