Minimum qualifications:- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field and 5 years of experience in the job offered or in a Data Scientist-related occupation.
- Alternatively, will accept a PhD in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field and 3 years of experience in the job offered or in a Data Scientist-related occupation.
- Position requires: 3 years of experience in collecting and analyzing data using statistical methods or quantitative analysis to draw inferences, identify trends, and solve data-related problems; 3 years of experience in analyzing information and data to draw conclusions, generate solutions, evaluate outcomes, and develop actionable plans; 3 years of experience in applying a research skillset to track scientific developments and technological trends aligned with domain expertise; 3 years of experience in applying advanced, domain-specific quantitative and technical knowledge (Econometrics, Operations Research, Advanced Design of Experiments, or Bayesian Statistics) to complete work and support organizational priorities; and 1 year of experience in technical Leadership or Management of Research or Data Science teams.
Responsibilities- Collaborate with cross-functional stakeholders to define business priorities and clarify product questions.
- Translate complex business goals into tractable analytical frameworks and evaluation metrics.
- Extract raw data across multiple sources using SQL and Python, and restructure and validate datasets to ensure high data integrity for analysis.
- Utilize specialized knowledge to navigate custom data infrastructure and existing data models.
- Design and evaluate novel mathematical models to solve defined problems with limited precedent. Mentor and support other data scientists in a Tech Lead capacity.
The US base salary range for this full-time position is $206,600 - $253,000 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 office & may allow for a hybrid schedule per Google policy.
