Google · 3 hours ago
Business Data Scientist, Statistics, Platform Analytics, Google Cloud
San Francisco, CA
Full-time
Onsite
Mid Level
$141K/yr - $202K/yr
3+ years expGoogle is a leading technology company, and they are seeking a Business Data Scientist to leverage data for problem-solving across product, operations, and engineering. The role involves analyzing the customer journey, optimizing product features, and streamlining internal processes using advanced statistical techniques.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Partner with product, operations, and engineering stakeholders to prioritize opportunities for improvement; collaborate with partner teams to define data requirements and build foundational datasets for key business and product initiatives
Drive and separately scope and analysis projects from inception to completion, defining success metrics and managing stakeholder communication along the way; design, execute, and analyze split-testing (A/B) experiments on product features, internal tools, and operational workflows to measure their impact
Apply causal inference and advanced statistical modeling to measure the impact of critical product and business initiatives and understand their key drivers
Manage analyses of the user journey to identify friction points and opportunities; translate investigative findings into actionable insights and narratives for various stakeholders
Perform opportunity sizing for new product and business initiatives to inform the roadmap and resource allocation
Qualification
Required
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
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 relevant PhD degree
Experience analyzing data from various sources such as product instrumentation, customer support systems, and internal operational tools
Experience with SQL, Python or R programming including advanced data analysis, statistical modeling, and data visualization
Preferred
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
4 years 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 Customer Support or Support-adjacent role
Experience with Large Language Models (LLMs), including their application in solving business problems
Experience in intelligent autonomous agents, including their design, development, evaluation, and deployment
Experience with cloud platforms (e.g., Google Cloud Platform) and their AI/ML services, particularly those related to LLMs and generative AI
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
Kleiner Perkins,Sequoia CapitalAndy 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
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