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2023 Phd Residency - Data Scientist

Company

X, the moonshot factory

Address Mountain View, CA, United States
Employment type FULL_TIME
Salary
Category Research
Expires 2023-09-12
Posted at 10 months ago
Job Description
X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.


THE FOUNDATION OF AN AMAZING JOURNEY


Our goal at X is to make the world a radically better place. In order to do that we seek fresh unexpected perspectives, from different fields, and that’s why we’re excited about you.


Life here isn’t easy, but it’s fun. We’re trying to build things most people can’t even imagine, and we’re doing it with the hope of making a huge, positive impact on the world. You’ll be embedded into a moonshot project, where you’ll partner with team members to solve key challenges.


This isn’t your ordinary internship. You’ll be positively challenged and pushed professionally, in ways that you may have never experienced. If this excites you - keep reading.


During Your Internship You Can Expect


  • To be placed on one of our confidential or public X projects
  • To attend colloquium and discussions with team leads from across Google, DeepMind and external organizations
  • To get paid competitively and with Google benefits
  • To be part of a lively community of other Interns and Residents


Details


  • Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability
  • Start Date(s): Year-round rolling basis
  • Location: X's headquarters in Mountain View, CA


Requirements


  • Must be enrolled in an academic program and working towards completing a PhD degree


About The Team


One of X’s confidential projects is looking for new team members interested in building breakthrough technologies that advance equity, justice and dignity for historically oppressed groups. As part of this early-stage work, the team is experimenting with quantitative and qualitative modeling techniques. Experience in developing system dynamics stock-and-flow models is a plus.


What You'll Be Working On


  • Develop MVPs to test the team’s underlying hypotheses and dispassionately assess their performance against X’s moonshot criteria
  • Collaborate with specialists in system dynamics and machine learning to build models of complex systems containing both quantitative and qualitative values and develop techniques to quickly identify feasible interventions on those systems
  • Test and develop new techniques to pull forward critical insights and communicate them clearly to a diverse group of stakeholders
  • Apply the latest in data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets
  • Attend X talks and symposia, and learn as much as you can about the moonshot factory’s unique approach
  • Identify and work with external partners to explore new, more accessible approaches to data analysis and interpretation
  • Work cross-functionally across, X, Alphabet and academia with relevant experts


Minimum Qualifications


  • Passionate about the impact of new technologies on historically oppressed peoples
  • Currently enrolled in a PhD program in a STEM field or any domain with a strong data science component, e.g., computer science, mathematics, biology, neuroscience, etc.
  • Ability to work in a small team / rapid prototyping environment and deal with uncertainty and fluidity
  • Experience developing and working with complex systems models


Preferred Qualifications


  • Hands-on experience with system dynamics
  • Fluency in Python
  • Experience with data analytics, machine learning and deep neural networks


The US base salary range for this role is between $108,000 - $127,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.


Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.