Google · 1 day ago
Data Scientist, Research, Ads Insight and Measurement
Mountain View, CA
Full-time
Hybrid
Mid Level
$141K/yr - $202K/yr
3+ years expGoogle is a leading technology company, and they are seeking a Data Scientist to apply scientific and statistical methods to advertising product challenges. The role involves developing, evaluating, and improving Google's advertising products while collaborating with a multidisciplinary team to drive impact in the global ad-tech and mar-tech industries.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Support and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product and customer facing teams
Collaborate with teams to define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, targeting, bidding etc
Find ways to combine large-scale experimentation, statistical-econometric, machine learning and social-science methods to answer business questions at scale
Use causal inference methods to design and suggest experiments and new ways to establish causality, assess attribution and answer strategic questions using data
Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and written and oral delivery of results to business partners and executives
Qualification
Required
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods
Preferred
PhD degree in a quantitative discipline
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
Ability to both teach others and learn new techniques such as differential privacy, with excellent leadership and self-initiation
Ability to select the right statistical tools to solve a data analysis problem
Excellent communication skills, with a passion for practical application of science to business
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
The Indian Express
2025-10-08
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2025-10-04
Company data provided by crunchbase