Full-Time Associate Data Scientist

This is a fully-remote position, but the selected individual must reside in either Arizona, Illinois or Texas.

Reasons why you will love working here:

• Quality of life: Flexible workplace arrangements, work-life balance
• Investment of the community: Donation matching, volunteer opportunities
• Investment in you: Tuition reimbursement, access to professional development resources, 401k matching, Employee Stock Purchase Plan
• And many, many more (Ask your recruiter for more details)

What you will be doing:

• Conduct exploratory data analysis such as statistical analysis, hypothesis testing and statistical inference to identify actionable insights
• Building forecasting and continuous learning models to help optimize the dispatch of smart thermostats, BTM batteries, EV managed charging, and smart hot water heaters for demand response (DR) programs
• Coding robust models using Python to solve critical client challenges and develop internal tools
• Collaborate with the data engineering and visualization teams for client deliverables
• Develop tools and processes on the cloud to scale data analysis
• Engage with external partners and trade allies to obtain, clean, and interpret data related to all aspects of the energy industry

What we need you to have (minimum qualifications):

• Bachelor's degree in data science, statistics, computer science, management information systems, or related field
• 2+ years of experience in a data science role (applicants can replace work experience for a master's degree)
• Experience in open-source data science languages, including Python
• Experience popular python data science libraries such as Pandas, NumPy and Matplotlib

What we would like you to have:

• Master's degree in data science, statistics, computer science, management information systems, or related field
• 2+ years of experience in a data science role (applicants can replace work experience for a master's degree)
• Experience in open-source data science languages, including Python
• Experience popular python data science libraries such as Pandas, NumPy and Matplotlib
• A portfolio of Data Science/ML projects that can be shared with the hiring manager
• Knowledge of geospatial data processing and analysis, including experience with GIS software (e.g., QGIS) and libraries (e.g., geopandas)
• Experience with Azure, particularly Azure Databricks for scalable data processing and machine learning
• Experience writing complex SQL queries
• Experience with git
• Ability to work independently and as part of a team on multiple tasks
• Excellent oral and written communication skills