Senior Data Science Innovator

Overview

In this role you drive data-driven innovation at the intersection of data science, strategy, and customer value. You uncover real problems by engaging with customers, then translate insights into scalable analytics solutions for energy infrastructure. You’ll operate from experiments to production-ready offerings, maturing pilots into MVPs and guiding adoption across cross-functional teams. Your work shapes impactful, multi-gigawatt energy systems while advancing safer practices for people and the environment.

Responsibilities

• Identify customer pain-points and define problems worth solving through stakeholder interviews
• Develop analytical solutions and deliver end-to-end data science projects from exploration to deployment
• Design, build, and refine models for experiments, prototypes, and MVPs using statistical and ML methods
• Translate ideas into structured, testable solutions and validate them with data and stakeholders
• Own end-to-end delivery and lead workstreams from framing to handover to production or scaling teams
• Collaborate with experiment managers, engineers, domain experts, and product teams to align, communicate insights, and drive adoption
• Provide technical leadership, mentor teammates, and contribute to internal DS communities

Key requirements

• Significant experience in data science or applied analytics
• Ability to work independently on loosely defined problems and turn them into structured, testable solutions
• Experience delivering end-to-end DS solutions from exploration to deployment or handover
• Experience working with business stakeholders or product teams
• Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or Physics

• proactive and innovative mindset
• strong problem-solving abilities
• collaborative and team-oriented approach
• Python programming with pandas, numpy, scikit-learn, tensorflow, pytorch
• statistics and ML techniques with a focus on timeseries data and text
• experience with data systems such as ClickHouse or MongoDB

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