Job Details
Level
Experienced
Job Location
Buffalo, NY – Buffalo, NY
Remote Type
Fully Remote
Position Type
Full Time
Salary Range
$109,000.00 – $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?
E Source develops groundbreaking data science applications that change the way utilities understand and manage their networks. We tackle challenging projects like optimizing vegetation management strategies and forecasting the impact of severe weather on utility networks. To conduct these projects, we use 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.
E Source provides predictive data science, research and advisory, and solution services to help utilities make decisions that benefit their customers, their bottom line, and our planet.
What you’ll do
- Fit and assess predictive models leveraging geospatial data sources in R or Python.
- Explore and analyze client-provided assets and reliability data sets.
- Collaborate with a broader data science and engineering team to take projects and products from inception to client delivery.
You’ll be a full-time member of the E Source Data Science team. Our data science positions appeal to self-starters who welcome and excel in team-based, collaborative projects from conception to end-user handoff, providing an excellent customer experience throughout. The ability to simplify complex analyses into understandable concepts that are applicable to management and operations staff is highly desired.
What will make you a good fit
Required qualifications:
- Master’s or PhD and multiple years with applied experience in forestry, ecology, vegetation-related remote sensing, statistics, or a similar field.
- Minimum three years conducting data science projects using spatial or time-series data sets in industry or applied research-analytical design, managing schedules, and communicating results to stakeholders.
- Extensive experience fitting and assessing predictive models using regression techniques in R or Python.
- Experience conducting all phases of analysis, including data compilation, exploratory data analysis, feature engineering, and deliverable generation (visualizations, reports, output files).
- Experience working as part of a larger data science team, collaborating with technical or nontechnical peers and stakeholders.
Preferred qualifications:
- Domain expertise using regression techniques (e.g., generalized linear models, generalized linear mixed models, zero-inflated models, regression trees)
- Domain expertise using remotely sensed and satellite data sets
- Experience using cloud computing infrastructure (e.g., Amazon Web Services) and collaboration version control (e.g., Git)
- Domain expertise in the utilities sector (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 $109,000 – $145,000 USD + annual bonus up to 8%. 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.
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Git cloud-computing statistics Data Science Python Amazon Web Services (AWS) R utilities