Staff Data Scientist Manager, Search Discovery

Google; Mountain View (CA); On-site; USD 183,000 - 271,000; Full time

Job summary

A leading tech company seeks a senior Data Scientist to drive data-driven decisions across cross-functional teams. The role emphasizes A/B testing, statistical analysis, and model development to enhance product efficacy in a collaborative environment. Ideal candidates will have extensive analytics experience and qualifications in a relevant quantitative field.

Qualifications

• 10 years experience in analytics or 6 years with a PhD.
• Experience with consumer-facing technical products.
• Strong statistical and analytical skills.

Responsibilities

• Collaborate to design and execute A/B tests.
• Gather and validate data for analysis.
• Analyze experimental results to inform product decisions.

Skills

Analytics

Statistical analysis

Coding

A/B testing

Education

Bachelor's degree in a quantitative field

PhD degree (equivalent experience)

Tools

Python

R

SQL

Job description

Minimum qualifications:

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
• 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 6 years of experience with a PhD degree.
• Experience working with consumer-facing technical products.

Preferred qualifications:

• Experience designing A/B tests, analyzing experimental results to validate assumptions, measuring product efficacy, and informing product decisions.

About the role:

Discover's mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content. It is a personalized feed that understands our users, their interests, and the content of the world and brings these together in a way that only Google can. Our role in data science is to partner with cross-functional stakeholders to inform the strategy with data and identify key opportunities, and then to accelerate execution through insights, measurement, and experimentation.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Salary range: The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + 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 preferred 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 bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/).

Responsibilities:

• Collaborate with Engineering and Research teams to design and execute A/B tests, analyze experimental results to validate assumptions, measure product efficacy, and inform launch decisions.
• Use custom data infrastructure or existing data models as appropriate. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
• Conduct headroom analyses to assess the potential impact of new product concepts and contribute to project prioritization.

Additional information:

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.