Google · 2 months ago
Data Scientist, Research, PhD, Early Career, 2026 Start
New York, NY
Full-time
Onsite
Entry Level
$141K/yr - $202K/yr
1+ years expGoogle is an engineering company seeking a Data Scientist to evaluate and improve its products. The role involves collaborating with a multi-disciplinary team to apply scientific and statistical methods to product creation, development, and improvement.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models
Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. 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
Qualification
Required
PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics) or another discipline involving experimental design and quantitative analysis of data
1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree
Experience in one or more of the following areas: Coding (e.g., C/C++, Python, Java), Databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), Statistical analysis (e.g., R, Stata, SPSS, SAS), or Hypothesis testing
Preferred
Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators)
Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.)
Applied experience with machine learning on large datasets
Ability to start full-time role in 2026
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