Google Inc. Data Scientist/Quantitative Analyst
To see the full job description and to apply go to Northeastern’s on-line portal, NUcareers, and click on Job ID: 1853829. Application deadline date 3/30/2018.
At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google’s business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google’s practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
As a key member of the team, you work with engineers to analyze and interpret data, develop metrics to measure results and integrate new methodologies into existing systems.
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Salary
Minimum qualifications:
- PhD degree in a quantitative discipline (e.g. statistics, bioinformatics, computational biology, computer science, applied mathematics, or similar) or equivalent practical experience.
- 2 years of experience in data analysis or related field.
- Experience with statistical software (R, S-Plus, SAS, or similar).
- Experience with databases and scripting languages (such as Python).
Preferred qualifications:
- 1 year of relevant work experience (i.e., data scientist role), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
- Experience with Survey Sampling.
- Ability to draw conclusions from data and recommend actions.
- Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.