The Data Scientist will develop and validate econometric and machine learning models to provide actionable insights for energy utility clients. They will also communicate complex technical findings to non-technical audiences to inform critical business decisions.
Lead applied research, evaluation, and consulting engagements from design through delivery while managing multidisciplinary teams. Advise utility clients by interpreting research findings into actionable insights and managing project scopes, budgets, and client relationships.
The Strategic HR Business Partner will serve as a trusted advisor to market unit leaders, driving workforce planning, organizational design, and headcount strategy. They will also manage complex employee relations, lead compensation planning, and implement AI-powered tools to optimize HR workflows.
The Business Development Manager will drive growth for the Grid Engineering & Interconnection practice by identifying new business opportunities and managing client relationships. They will coordinate with engineering teams to develop technical proposals and execute strategic account plans to meet revenue targets.
Lead full-cycle sales development and executive-level conversations to drive the adoption of data science solutions within the utility industry. Collaborate with subject-matter experts to translate innovative concepts into value-driven messages for prospective clients.
You will design, build, and maintain scalable data pipelines and infrastructure using AWS, Python, and Databricks. Additionally, you will collaborate with cross-functional teams to deliver data products and provide technical mentorship to junior engineers.
Collaborate with engineering leadership to design and implement scalable, secure software products for the utility sector. Mentor junior engineers on best practices while participating in continuous learning to drive software innovation.
The Product Manager/Product Owner will define the vision, roadmap, and success metrics for the Storm Insights product while managing the product backlog. They will collaborate with cross-functional teams including engineers, data scientists, and designers to deliver features and facilitate agile ceremonies.
Collaborate with cross-functional teams to design, develop, and deploy scalable AI and machine learning products for the utility industry. Build reusable Python packages, design AI system components, and implement monitoring frameworks to ensure model performance and fairness.
