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$164k–$211k/yr
Full-time
postgraduate degree
Bonus Target, Equity, Benefits determined by role, level, and location
Posted 20d ago
~40 hrs/week
Responsibilities
Collaborate with stakeholders to translate business needs into mathematical models and analytical questions. Extract large-scale data using SQL, Python, and R to design and evaluate sophisticated models that improve Google products.
Requirements
Requires a Ph.D. in a quantitative field such as Computer Science, Statistics, or Economics. Candidates must be proficient in Python or R and capable of explaining complex statistical concepts to non-quantitative audiences.
Full job description
Minimum qualifications:
Ph.D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations Research, or a related field.
Position requires: Applying statistical or optimization methods to solve business problems; Framing business problems posed by non-quantitative stakeholders into tractable quantitative problems; Presenting and defending quantitative solutions to senior leadership, for implementation or to influence the business roadmap; Python or R for statistical analysis and algorithms; and Explaining statistical concepts (Statistical Hypothesis Testing, Statistical Significance, Causal Inference, Confidence Intervals, Survival Analysis, Advanced Design of Experiments, ML/AI Evaluation) to non-quantitative audiences.
About the job:
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
The US base salary range for this full-time position is $164,450 - $211,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google San Bruno, CA office & may allow for a hybrid schedule per Google policy.
Responsibilities:
Collaborate with stakeholders to translate business needs into clear analytical questions, evaluation metrics, and mathematical models.
Gather business goals, organizational context, and information regarding existing and upcoming data infrastructure to guide your analysis.
Extract and compile large-scale data from multiple sources using SQL, R, and Python.
Validate and prepare datasets for analysis by formatting, re-structuring, and ensuring data quality and integrity.
Design and evaluate sophisticated models to mathematically solve complex problems with limited precedent. Apply scientific and statistical methods to evaluate and improve Google's products for millions of users worldwide.
Related keywords
Data ScienceComputer ScienceStatisticsMathematicsEconomicsPhysicsOperations ResearchPythonRSQLStatistical Hypothesis TestingStatistical SignificanceCausal InferenceConfidence IntervalsSurvival AnalysisDesign of Experiments
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA