Posted:
10/29/2024, 5:15:06 AM
Location(s):
Mountain View, California, United States ⋅ California, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
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. |
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Snapshot |
We’re looking for an applied data scientist to join Google DeepMind’s internal data & analytics group. Working closely with stakeholders, you will provide clarity and structure to ambiguous business problems to guide strategic decisions specifically around our compute and infrastructure strategy, contributing directly to Google DeepMind’s mission of bringing the benefits of AI to the world! |
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About Us |
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. You’ll join the Core Analytics Team (CAT) within the Tech Ops & Analytics group at Google DeepMind, comprising a software engineer & data scientists. We ultimately aim to drive better organisational decisions – blending our technical skillset with rich stakeholder relationships to deliver impact. The outcomes of our work, ranging across topics like (but not limited to!) compute purchase and efficiency, research organisation, and recruitment optimisation, directly influence Google DeepMind’s progress towards our mission. |
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The role |
We’re looking for someone who is skilled at and motivated by helping make sound decisions using quantitative data. This role will specialise in the area of compute management exploring areas like the efficiency of our accelerators and infrastructure. You’ll bring a particular expertise and perspective around how to most effectively conduct analyses – liaising with engineering colleagues to ensure we collect the right telemetry at source, and working with technical program managers to translate those (and other!) insights into clear decisions both for leadership and process owners. You’ll also be expected to contribute to our team environment – sharing your knowledge, coaching other analysts, helping articulate and prioritise our common roadmap, and using your experience of analytics in other organisations to make improvements to how we operate. A core set of the responsibilities this role encompasses:
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About you |
What we are looking for in the ideal candidate: You have several years of experience as a data scientist at another organisation, and know how to effectively bring analytics ‘into contact’ with organisational decisions. This is a mid level role and while there’s no exact amount of experience necessary we expect to see a track record of delivery in other organisations and a clear perspective on what effective analytics looks like. You excel at analytical problem solving with a ‘nose for data’, knowing which questions to ask of it, how to go about answering those questions, and how to ensure that your answer is correct. You enjoy using a variety of tools to answer the question at hand. You recognise that there are lots of potential ways to approach a problem, and enjoy choosing the right tool for the job. You’re comfortable teaching yourself new technologies and techniques when appropriate. You consider yourself ‘business savvy’. You have proven experience working with a variety of different internal partners, and an intuition for which questions are most important to hone in on in service of our mission. You are passionate about ‘storytelling’ with data. You can take an ambiguous question and probe further, figuring out the trajectory to a meaningful story. You know how to effectively express uncertainty in your conclusions, and key assumptions that have gone into the analytical process. Other qualities we’re looking for:
If you don’t think you embody all of the above criteria, please still seriously consider applying! This role (and therefore the requirements) is broad, and we’d be excited to discuss how you see yourself contributing across it. |
The US base salary range for this full-time position is between $122,000 - $186,000,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see ourApplicant and Candidate Privacy Policy
Application deadline: 12pm PST Friday 8th November 2024
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 opportunities 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, maternity 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.
Website: https://deepmind.com/
Headquarter Location: London, England, United Kingdom
Employee Count: 501-1000
Year Founded: 2010
IPO Status: Private
Last Funding Type: Series A
Industries: Artificial Intelligence (AI) ⋅ Business Development ⋅ Machine Learning