Data Scientist (Levels II-IV) - REMOTE

Job Details

Level: ExperiencedJob Location: Buffalo, NY - Buffalo, NYPosition Type: Full TimeSalary Range: $90,000.00 - $145,000.00 Salary/yearTravel Percentage: NegligibleJob Shift: Day

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 simulating major investment strategies across statewide electric 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 keep the lights on for their customers when they need it most. 

 

 

A little about E Source 

 
E Source combines industry-leading research, data science, and consulting to help utilities make and implement better data-driven decisions that positively impact their customers, their bottom line, and our planet. Headquartered in Boulder, CO, we have teams across the US and Canada. Learn more at www.esource.com. 

 

 

 

How you’ll help: 

• 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 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 great fit: 

 

Required qualifications: 

• Education: MS or PhD in Engineering, Math, Statistics, or similar field of study. 

• Experience: