Data Scientist III, Product, Pricing and Retention, Google Fi

Google

Mountain View, CA

Full Time

Senior

132k-189k

3 days ago

Job Description

About the Role

The Data Scientist III role at Google Fi involves providing quantitative support, market understanding, and strategic insights to partners across the organization. The position focuses on analyzing data to help improve products, drive business decisions, and support Google's worldwide user base of over a billion people. The team encompasses Google's computing platforms, devices, and services, aiming to develop innovative experiences through research, design, and development of new technologies.

Key Responsibilities

Perform analysis utilizing relevant tools such as SQL, R, and Python.
Use comprehensive technical knowledge to leverage custom data infrastructure or existing data models.
Own the process of gathering, extracting, and compiling data across sources via relevant tools.
Format, re-structure, and validate data to ensure quality.
Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership.
Translate analysis results into business insights or product improvement opportunities.
Provide analytical insights and recommendations to influence product feature development decisions, with some guidance.
Build and prototype analysis and business cases iteratively to provide insights at scale.
Develop comprehensive knowledge of Google data structures and metrics.

Requirements

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.
Experience solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.
Understanding of end-to-end user experience, marketing, and user growth.

Nice to Have

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

Qualifications

Bachelor's degree in a relevant quantitative field.
5 years of relevant analysis and coding experience, or 2 years with a Master's degree.

Benefits & Perks

US base salary range of $132,000-$189,000 plus bonus, equity, and benefits.
Additional benefits as offered by Google.

Working at Google

Google is proud to be an equal opportunity workplace and is an affirmative action employer. The company is 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. Google also considers qualified applicants regardless of criminal histories, in accordance with legal requirements. The company values diversity and inclusion, and provides accommodations for applicants with disabilities or special needs.

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