We are seeking a motivated and collaborative Data Scientist to work on advanced analytics projects in the energy domain. In this role, you will design, develop, and deploy machine learning and statistical models to analyze utility data, uncover insights, and drive actionable outcomes. You will collaborate closely with multidisciplinary teams, including engineers, data scientists, and industry experts, to ensure that solutions are practical, reliable, and scalable. The ideal candidate thrives in a remote, fast-paced environment, enjoys translating complex datasets into clear recommendations, and contributes to impactful projects that support energy efficiency, grid reliability, and customer-focused initiatives.

Accountabilities:

Translate project scopes into actionable tasks and maintain progress tracking using tools like Jira
Conduct data exploration, validate data sufficiency, and identify relevant sources for analytics solutions
Develop, validate, and maintain statistical and machine learning models, including time series, ensemble, neural network, and natural language processing techniques
Collaborate with teams to build and maintain reproducible data science pipelines and ensure high-quality code through repository management and reviews
Present insights and results to internal teams and clients, translating technical findings into actionable recommendations
Participate in all phases of the project lifecycle, from conception to end-user handoff, ensuring client satisfaction

Requirements

Master's degree or PhD in Statistics, Mathematics, Economics, Electrical Engineering, or a related technical field
Strong proficiency in Python and/or R, with experience applying data science methods in a professional environment
Familiarity with cloud environments, particularly AWS and Azure
Experience with a range of statistical and machine learning models, including generalized linear models, penalized regression, tree-based ensembles, time series, neural networks, and NLP
Strong analytical, problem-solving, and communication skills with the ability to simplify complex analyses for non-technical stakeholders
Experience collaborating in team-based projects and working independently in a remote setting

Preferred Qualifications:

Experience with Databricks and PySpark
Prior professional experience in the utility or energy sector
Familiarity with customer and distribution grid data models

Benefits

Competitive salary: $85,000 - $130,000 USD + annual bonus, adjusted for experience
Flexible Time Off program and flexible work schedules/locations
Excellent medical, dental, and vision coverage, plus company-paid life insurance and long- and short-term disability plans
Paid parental leave
401(k)/RRSP plan with 3% employer match
Fully remote role with occasional travel (1-2 times per year)

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements
📊 It compares your profile to the job's core requirements and past success factors to determine your match score
🎯 Based on this analysis, the 3 candidates with the highest match to the role are automatically shortlisted
🧠 When necessary, our human team performs an additional manual review to ensure no strong profile is missed

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company. The final decision and next steps, including interviews or assessments, are made by their internal hiring team.

Thank you for your interest!