Senior Data Scientist, Analytics

David Energy • New York, NY

43d • $160,000 • Hybrid

About The Position

David Energy is creating a new kind of power company. Traditional Retail Electricity Providers (REPs) are outdated, opaque, and painful for customers to engage with. We use software to monitor our customers' real-time energy usage, and we aggregate and analyze that data to maximize the value they get from their energy assets – batteries, EVs, HVAC systems and other distributed energy resources (DERs) via participation in energy markets. Our mission is to run the grid on clean energy 24/7. We are looking for a senior data scientist to own analyses and data analytics around our growing network of energy assets in concert with real-time energy markets. By shifting the energy usage of our customers to align with the cheapest and cleanest wholesale energy available, we can offer dramatically lower rates with much cleaner energy. Making those decisions automatically at scale requires excellent data science. In this role, you will Solve complex business problems (e.g., cost allocation, error detection, data imputation) to deliver insights that advance business initiatives Own and evolve our data ecosystem (Snowflake + dbt) and ensure data is accurate and well-structured 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

Requirements

• Clear communication skills with people at all levels of technical ability
• 5+ years of work experience delivering data analytics and analyses with demonstrated impact
• Fluency in SQL
• Ability to deliver in an early-stage startup environment (e.g., proactive ownership, independence in uncertainty)

Nice To Haves

• Bachelor’s in a quantitative field (e.g., physics, statistics, mathematics, economics)
• Experience with dbt
• Experience with Python
• Experience in energy trading, grid operations, or deregulated energy markets (namely, ERCOT, ISO-NE, NYISO, or PJM)

Responsibilities

• Solve complex business problems (e.g., cost allocation, error detection, data imputation) to deliver insights that advance business initiatives
• Own and evolve our data ecosystem (Snowflake + dbt) and ensure data is accurate and well-structured
• 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

Benefits

• $160,000 plus equity, depending on experience
• Group medical and dental insurance
• Flexible vacation/PTO policy
• 401(k) plan
• Hybrid office culture, with team members remote and working from our offices in New York City

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees