David Energy is creating a new kind of power company to solve the outdated, opaque, and painful customer experience of traditional Retail Electricity Providers (REPs). They use software to monitor customer energy usage and DERs to maximize value through participation in energy markets, aiming to run the grid on clean energy 24/7. The company needs a senior data scientist to own analyses and data analytics for their growing network of energy assets in conjunction with real-time energy markets to automatically shift energy usage to align with the cheapest and cleanest wholesale energy available.
Requirements
- Fluency in SQL
- Experience with dbt
- Experience with Python
- Experience in energy trading, grid operations, or deregulated energy markets (namely, ERCOT, ISO-NE, NYISO, or PJM)
Responsibilities
- Own and evolve our data ecosystem (Snowflake + dbt) and ensure data is accurate and well-structured
- Solve complex business problems (e.g., cost allocation, error detection, data imputation) to deliver insights that advance business initiatives
- Work with cross-functional teams to identify data needs, define metrics, and establish reporting frameworks
- Contribute to the strategic planning process by presenting findings and recommendations to stakeholders across the company
- Identify opportunities for process improvements and lead initiatives to increase operational accuracy and efficiency
- Design and establish a company culture of rigorous, data-informed decision making
Other
- Clear communication skills with people at all levels of technical ability
- 5+ years of work experience delivering data analytics and analyses with demonstrated impact
- Ability to deliver in an early-stage startup environment (e.g., proactive ownership, independence in uncertainty)
- Bachelor’s in a quantitative field (e.g., physics, statistics, mathematics, economics)
- Hybrid office culture, with team members remote and working from our offices in New York City
