Staff Data Scientist, Research
Description For Staff Data Scientist, Research
Google is seeking a Staff Data Scientist for their Research team. This role involves collaborating with multi-disciplinary teams to evaluate and improve Google's products using scientific rigor and statistical methods. The ideal candidate will have a strong background in analytics, coding, and statistical analysis.
Key Responsibilities:
- Collaborate with stakeholders to identify and clarify business or product questions
- Design and evaluate mathematical models to solve complex problems
- Gather and analyze data using tools like SQL, R, and Python
- Own the process of data extraction, compilation, and quality assurance
Qualifications:
- Master's degree in a quantitative field (e.g., Statistics, Data Science, Mathematics)
- 8 years of work experience in analytics and coding (6 years with a PhD)
- Proficiency in Python, R, SQL, and database querying
Google offers a competitive salary range of $177,000-$266,000 plus bonus, equity, and benefits. The company is committed to diversity, equality, and creating a culture of belonging.
Join Google's engineering team to make an impact on millions of users worldwide, working on projects ranging from Google Ads to Chrome, Android to YouTube, and Social to Local. Apply now to be part of Google's innovative data science team and help shape the future of technology.
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 (e.g., SQL, R, Python)
- 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
- Proficiency in Python, R, and SQL
- Experience with data extraction, compilation, and quality assurance
- Strong analytical and problem-solving skills
- Ability to collaborate with cross-functional teams
Benefits For Staff Data Scientist, Research
- Bonus
- Equity
- Benefits package
