1 день назад
Head of Data Science (AI)
207 000 - 330 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Data Science (AI): Leading data science strategy and teams while building scalable data curation pipelines, metrics, and experimentation frameworks for AI-enabled electric grid planning tools with an accent on data integrity, advanced analytics, and cross-functional delivery. Focus on defining business value from machine learning, standardizing A/B testing, analyzing heterogeneous datasets, and improving grid visibility and resilience.
Location: Mountain View, CA (HQ) or San Francisco, CA; fleible hybrid work model
Salary: $207,000–$330,000 US base salary per year, plus bonus, equity, and benefits
Company
Develops AI-enabled analytical and planning tools for electric grid visibility, resilience, and efficient energy-system operations.
What you will do
- Lead, recruit, mentor, and develop a high-performing data science team.
- Translate business goals into data science roadmaps with engineering, product, machine learning, and power systems eperts.
- Define business metrics and eperimental designs that connect machine learning performance to product value.
- Oversee discovery, analysis, curation, and quality control for large, heterogeneous datasets and multi-stage machine learning processes.
- Eplore data science applications that improve electric grid visibility and resilience.
- Standardize A/B testing and modern data science workflows, including generative AI techniques for analysis and synthesis.
Requirements
- PhD or Master's degree in a quantitative field and 10+ years of industry eperience as a statistician, quantitative analyst, or data scientist.
- 8+ years of eperience managing high-performing data science teams and delivering production-grade solutions.
- Proficiency in Python, SQL, R, Pandas, Scikit-Learn, and related machine learning frameworks.
- Advanced eperimental design skills, including A/B testing, multivariate analysis, stochastic models, and sampling methods.
- Eperience analyzing large datasets, identifying data science opportunities during early product development, and influencing cross-functional collaboration.
- Ability to balance product strategy with technical unblocking and communicate comple pipelines and metrics as clear business value.
Nice to have
- Eperience delivering scalable enterprise solutions in startup or high-growth environments.
- Eperience with electric power grid data and utility networks.
- Adaptability to ambiguous, fast-changing environments and diverse technologies.
Culture & Benefits
- Culture focused on ownership, meaningful impact, collaboration, continuous learning, and inclusive decision-making.
- Fleible hybrid work model.
- Medical, dental, and vision coverage.
- Generous paid time off and 401(k) with employer contribution.
- Professional development opportunities.
- Competitive salary, equity, bonus, and work on real-world energy problems in an Alphabet-backed environment.
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