Business Data Scientist, Statistics, Platform Analytics, Google Cloud
Date: 2 days ago
City: Sunnyvale, CA
Salary:
$166,000
-
$244,000
per year
Contract type: Full time
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA.Minimum qualifications:
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 .
Responsibilities
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA.Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience in a data science role using data to influence business or product decisions.
- 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.
- Ph.D. degree in a relevant quantitative field.
- Experience in causal inference techniques to measure the true impact of business actions.
- Experience in Customer Support or Support-adjacent roles.
- Ability to work cross-functionally and communicate technical findings to non-technical audiences.
- Excellent product intuition and business acumen, with experience influencing both product and business strategy.
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 .
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 independently scope and analysis projects from inception to completion, defining success metrics and managing stakeholder communication along the way; design, execute, and analyze rigorous 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 end-to-end analyses of the user journey to identify friction points and opportunities; translate analytical 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.
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