Data Scientist - Product, Technology Strategy
TL:DR : Use data to develop insightful recommendations on strategic directions & specific project opportunities for NRC 2.0 consideration.
#Profile: Analyst background with significant strategy modeling expertise. Past experience as an i-banking analyst is a plus. Seeking someone who enjoys playing multi-dimensional chess and can clearly and concisely communicate the merits & risks of multiple scenarios. You should be commercially minded with technical fluency, and have good interpersonal skills to handle disparate virtual team working structures.
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Partner closely with MLSA Ops and relevant PA teams (both eng and finance) to create unified models for long range planning with the aim of establishing company-wide compute governance. This includes sheets/excel models and the ability to manipulate data in colab.
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Perform analysis and research, of technical and business issues associated with potential product ideas or strategic investments.
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Help create compelling case for mandates/governance via documents and presentations and right-size information for relevant audiences to drive outcomes
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Generally obsess over historical performance data to propose change management (empowered to propose and spearhead new areas of investigation)
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Propose creative ways to leverage resources most effectively to have massive impact
Job responsibilities
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Create and maintain models of various scenarios for long range planning to inform compute investment and company-wide compute governance aligned with Google’s AI strategy
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Influence new governance strategies that are sustainable from research, product and financial POVs based on an understanding of current and future workloads
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Inform strategy development as it relates to the model loop from GDM and Gemini into Google products, including critical areas such as the fine-tuning strategy and serving strategy
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Partner with technical leadership and Capital Engineering to understand constraints and scope requirements for programs
Qualifications
Minimum qualifications
You must meet these minimum qualifications to apply for this job
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BA/BS degree or equivalent practical experience in a technical and/or business area
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Extensive experience in product strategy
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Strong analytics, strategy, and data fluency experience
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Experience running high impact, strategic programs
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Experience in a role that deals with machine learning and compute
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Innovative problem solver that can turn ambiguous problem spaces into clear solutions
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Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making
Preferred qualifications
Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable
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Familiarity with the role of compute and data in building LLMs and the capabilities of these models
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5 years in investment banking, consulting, or product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders
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Apply a quantitative and analytical mentality to understand Google needs
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Experience navigating sensitive organizational dynamics
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Collaborating within data-driven or quantitative-focused teams
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A consistent record of creative problem solving and a bias towards action
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Outstanding business judgment
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Outstanding organizational, prioritization, and multitasking skills
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Excellent communication skills
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A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment
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Experience in corporate planning
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Ability to manage multiple concurrent complex interactions with geographically disparate teams
The US base salary range for this full-time position is between $168000 - $266000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 12pm GMT Friday 18th April 2025
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.