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Director, Software and Data Science

Convergent Energy and Power
United States - Remote, United StatesRemotefull_timeVerifiedPosted 1 Aug 2025
💰 $210,000/yr($190,000/yr$210,000/yr)

About the role

This is a fully remote role for candidates who are based outside of the New York Metropolitan area. For those located in the area, we encourage you to consider our hybrid work arrangement (1-2 days a week in our NYC office). That said, we value flexibility and if you have a different preference, please do not let that deter you from applying – let’s talk about it!

Applicants must be authorized to work for any employer in the United States or Canada. We are unable to sponsor or take over sponsorship of any employment-based visas at this time.


Energy storage is the key to unlocking a future where our world is powered by renewable resources. At Convergent Energy and Power, our mission is to make the electrical grid cleaner, more reliable, and less expensive by leveraging state-of-the-art energy storage and distributed generation technologies.

The Director, Software and Data Science is responsible for leading the development and evolution of internal software and data science solutions that support Convergent’s internal portfolio of distributed renewable energy projects (Solar PV, BESS systems, etc.). This role blends technical leadership in data science, software engineering, and lightweight product management to deliver tools and algorithms that improve the performance, decision-making, and transparency of our operations.

 

This is a people management role that oversees 1-3 individual contributors.

What You’ll Do

[Data Science & Tools] Develop, deploy, and improve intelligent decision-support tools (70%)

o   Lead the evolution of PEAK IQ—our suite of prediction and dispatch co-optimization algorithms—by advancing machine learning models that help operators maximize revenue and system performance

o   Design and implement ensemble modeling approaches to combine signals from multiple models, data sources, and forecast strategies, improving reliability and performance across diverse operating scenarios

o   Drive efforts to structure, train, and validate time-series models using internal and external data (e.g., forecasts, weather, market pricing, telemetry)

o   Oversee and improve data collection services and pipelines that power PEAK IQ and other internal analytics

o   Direct development of the Asset Management Platform (AMP)—Convergent’s internal scheduling and monitoring tool—ensuring tight integration between front-end user interfaces and back-end data pipelines

o   This role requires hands-on work in data science, and ideally, the ability to contribute to front-end application development and database design

o   Participate in code reviews, set technical standards, and ensure reproducibility and transparency in modeling pipelines

[Leadership] Cross-functional coordination and team development (10%)

o   Lead strategy and check-in meetings across Asset Operations, Strategic Analytics, and Portfolio Management to align on development priorities and timelines

o   Clearly communicate modeling logic, system behaviors, and data limitations to non-technical stakeholders

o   Educate the organization on the design, purpose, and business impact of Convergent’s intelligent tools

o   Manage and mentor internal developers and data scientists; oversee third-party resources as needed

o   Lightweight product oversight to maintain a well-organized Jira backlog with clearly defined priorities

o   Lead recurring sprint planning and progress check-ins to track development and ensure accountability

o   Gather and integrate stakeholder feedback from across the company to refine roadmap and feature scope

[Data Services] Portfolio performance and reporting support (10%)

o   Lead efforts to structure and serve operational and financial data for use in dashboards, compliance reporting, and strategic analysis

o   Collaborate with portfolio managers to increase data accessibility and reliability for forecasting, settlements, and decision-making

o   Oversee data hygiene and quality assurance efforts across key datasets

People Management (10%)

o   Conduct regular one-on-one meetings with direct report(s) and follow Convergent’s performance review cycle, setting clear goals, evaluating outcomes, and addressing performance issues promptly and effectively.

o   Work with People Operations to handle personnel matters with professionalism, including onboarding, growth, training, hiring, resolving conflicts and making informed recommendations on corrective actions, and staff transitions when necessary.

o   Foster a positive team culture that embodies Convergent’s values.

Requirements

Required Qualifications

o   Bachelor’s degree in a relevant field (e.g., mathematics, physics, computer science, data science)

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Company

Convergent Energy and Power

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