Senior Data Scientist
GoogleAbout the role
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Physics,
Economics, Operations Research or a related field and 6 years of progressive
post-baccalaureate experience in the job offered or in a Data
Scientist-related occupation.
- Alternatively, will accept a Master’s degree in Data Science, Statistics,
Mathematics, Physics, Economics, Operations Research 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 the following: Coding in SQL,
Python, or R to manipulate, analyze, visualize large datasets, and build
models; Statistical analysis or quantitative data synthesis to draw
inferences, identify trends, and solve product or business problems; User
experience measurement or attribution modeling to evaluate customer
interactions; Product analytics or business intelligence to define metrics,
create dashboards, and measure success; and Stakeholder management or
cross-functional collaboration to align objectives, gather consensus, and
persuade leaders.
ABOUT THE JOB:
The US base salary range for this full-time position is $206,600 - $237,000+ 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
[https://www.google.com/about/careers/applications/benefits/].
Position reports to the Google San Francisco, CA office & may allow for a hybrid
schedule as per Google policy.
RESPONSIBILITIES:
- Extract, format, and validate complex datasets from multiple sources to
guarantee quality and analysis readiness.
- Execute advanced analyses utilizing SQL, R, and Python to resolve ambiguous
problems and deliver optimal solutions.
- Report Key Performance Indicators to leadership and translate analytical
results into actionable product improvement insights.
- Prototype scalable business cases and build robust processes with the
foresight to anticipate future challenges.
- Master internal data structures and metrics to effectively advocate for
impactful product development changes. Influence cross-functional teams to
align strategic resources while providing oversight and setting standards for
data scientists.
Responsibilities
- Extract, format, and validate complex datasets from multiple sources to guarantee quality and analysis readiness.
- Execute advanced analyses utilizing SQL, R, and Python to resolve ambiguous problems and deliver optimal solutions.
- Report Key Performance Indicators to leadership and translate analytical results into actionable product improvement insights.
- Prototype scalable business cases and build robust processes with the foresight to anticipate future challenges.
- Master internal data structures and metrics to effectively advocate for impactful product development changes.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field and 6 years of experience, or a Master’s degree and 3 years of experience.
- 3 years of experience in coding in SQL, Python, or R, statistical analysis, user experience measurement, product analytics, and stakeholder management.
Benefits
- 15% bonus target
- equity
- benefits determined by role, level, and location
Skills mentioned
About Google
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