Data Science Manager, Tapestry

1. Team Leadership and Strategic Delivery

People Management: Recruit, mentor, and lead a world-class team of data scientists. Cultivate talent through active technical mentorship and clear career development paths.

Cross-Functional Alignment: Collaborate with engineering, product, power system experts, and external partners to translate high-level business goals into rigorous data science roadmaps.

Executive Communication: Persuasively communicate your team's findings and strategic recommendations to senior executives and cross functional teams, tracking the long-term business impact of the solutions.

2. Data Integrity and Curation Strategy at Scale

Pipeline Oversight: Guide the team in discovering, investigating, and deriving insights from large and complex input datasets, both current and potential, from partners and other sources.

Gatekeeping Metrics: Oversee the definition of problem framing, test datasets, and core business, product and performance metrics that machine learning models will aim to optimize for.

Multi-Stage Quality Control: Ensure data integrity across the pipeline by establishing frameworks to assess intermediate datasets and metrics within multi-stage machine learning processes.

Annotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes quality through statistical rigor, ensuring data reliability for all downstream modeling.

3. Problem Definition and Advanced Analytics

Grid Visibility and Innovation: Lead the proactive exploration of new problem spaces to fundamentally improve electric grid visibility and resilience.

Experimentation Frameworks: Standardize how the team designs, executes, and analyzes A/B tests and other experiments to validate hypotheses and measure product impact.

Engineering Best Practices: Champion modern data science workflows, including the application of GenAI techniques for data analysis, ensuring the team follows robust engineering best practices.

PhD or Master’s in a quantitative field and 8+ years of tech or energy industry work experience as a statistician, quantitative analyst, or data scientist.

5+ years of experience directly managing or leading high-performing data science and analytics teams, with a proven track record of delivering production-grade data solutions.

A proven track record of identifying where data science can add unique value during early product development, alongside a strong ability to influence other teams to collaborate on critical data science work.

Advanced skills in experimental design, including the ability to architect, guide, and validate robust A/B testing methodologies and statistical experiments in ambiguous environments.

Experience in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.

Experience with electric power grid data, and physics based understanding of electrical networks and utility data. Ability to bridge the gap between power systems and machine learning.

Experience in multivariate analysis, stochastic models, and sampling methods. Able to select the right statistical tool to solve for bias, variance, and data drift.

Applied experience with building comprehensive machine learning model evaluation tooling and processes on large datasets.

Proven ability to "zoom out" from complex technical details to build a cohesive product strategy, and "zoom in" to unblock technical hurdles.

Demonstrate strong collaboration with software engineering and cross functional teams to build ML-powered systems ready for production.

Exceptional storytelling abilities, with a knack for turning complex data pipelines and model metrics into clear business value for non-technical stakeholders.

Ability to thrive in ambiguity, set own goals and effectively delivering to them in a very fast-changing environment

Attention to detail, project management, and organizational skills

Fast learner with capacity to learn about a wide-spread of different technologies and industries

Passion for the energy and climate space

Track record of delivering scalable solutions to complex software problems

Experience in startup or high-growth environments

Take charge: We take initiative and own outcomes that move the mission forward.

Transform with purpose: We build solutions that solve real problems and create meaningful impact.

Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.

Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.

Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.