Staff Data Scientist, Research
Description For Staff Data Scientist, Research
Google, a pioneering force in technology, is seeking a Staff Data Scientist to join their research team. This role represents a unique opportunity to make an impact on products used by billions of users globally. As a Staff Data Scientist, you'll be at the forefront of data-driven decision making, working on everything from Google Ads to Chrome, Android to YouTube, and Social to Local initiatives.
The position requires a blend of technical expertise and strategic thinking, with a focus on using analytics and statistical methods to solve complex product and business challenges. You'll be working with cutting-edge data infrastructure and will have the opportunity to design and implement sophisticated mathematical models to address unprecedented problems.
The ideal candidate will bring 8+ years of experience in analytics and data science, with expertise in programming languages like Python, R, and SQL. You'll be collaborating with cross-functional teams, translating business questions into actionable insights, and owning the entire data analysis pipeline from data gathering to insight generation.
Google offers a competitive compensation package ranging from $177,000 to $266,000, plus bonus, equity, and comprehensive benefits. The company's commitment to innovation, coupled with its global reach and impact, makes this an exceptional opportunity for a data scientist looking to work on challenging problems at scale.
The role combines technical depth with business acumen, requiring someone who can not only analyze complex datasets but also communicate findings effectively to stakeholders. You'll be part of Google's continued evolution as an engineering company, contributing to technological achievements that shape the future of digital products and services.
Responsibilities For Staff Data Scientist, Research
- 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
- Own the process of gathering, extracting, and compiling data across sources via relevant tools
- Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis
Requirements For Staff Data Scientist, Research
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree
Benefits For Staff Data Scientist, Research
- Base salary + bonus + equity + benefits
- Comprehensive benefits package
