Data Scientist III, Utility Analytics

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Convert scopes of work into technical tasks and Jira issues designated for project team assignments.

• Analyze data and assess its adequacy for data science initiatives.

• Extract insights from data exploration and modeling to create valuable, actionable deliverables for clients.

• Create statistical and machine learning models and assess their performance validation.

• Collaborate on the development and maintenance of data science pipelines for consistent execution.

• Oversee code repositories and perform code reviews.

• Engage with clients and internal stakeholders throughout the data science project lifecycle.

• Identify data sources that facilitate data science solutions for challenges in the utility industry.

• Partner with utility domain experts, software engineers, and machine learning engineers.

• Construct models for integration into production software serving utility clients.

• Analyze customer energy usage modeling across various timeframes and weather conditions.

• Identify the usage of grid-impacting customer end uses.

• Evaluate the impacts of utility-managed programs and services.

⛳️ Requirements

• Master’s degree or PhD in a technical discipline such as statistics, economics, mathematics, or electrical engineering.

• Proficient in R or Python (fluency in both is preferred).

• Experience utilizing data science methodologies for proof-of-concept and operational support projects in a professional setting.

• Strong comprehension of statistical and machine learning model families.

• Familiarity with generalized linear models, time series methods, penalized regression models, tree-based ensemble models, neural network models, or natural language processing techniques.

• Self-motivated individual who excels in collaborative, team-oriented projects.

• Capability to deliver an outstanding customer experience throughout the project lifecycle.

• Proficiency in simplifying intricate analyses for management and operations stakeholders.

• Clear and confident communication and presentation abilities.

• Experience with Databricks, especially PySpark, is preferred.

• Professional experience in the utility or energy sector is preferred.

• Familiarity with customer and distribution grid data models is preferred.

• Familiarity with AWS and Azure is preferred.

• Must possess authorization to work for any employer in the US or Canada.

• Not eligible for employment visa or LMIA sponsorship.

🏝️ Benefits

• 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.

• Paid parental leave.

• Flexible time off (FTO) policy allowing for paid time away from work.

• 401(k) plan with a 3% employer match.

• 100% remote work opportunity.

• Chance to enhance skills and contribute to impactful work.

• Annual bonus.