Senior Data Scientist, Research
Description For Senior Data Scientist, Research
Google is seeking a Senior Data Scientist for their Research team. As a Data Scientist at Google, you will evaluate and improve Google's products, collaborating with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position requires bringing scientific excellence and statistical methods to the challenges of product creation, development, and improvement, with an appreciation for end-user behaviors.
Google is known for being an engineering company that tackles technology's greatest challenges and impacts billions of users. Data scientists at Google work on various projects, from revolutionizing search to developing massive scalability and storage solutions, large-scale applications, and new platforms for developers worldwide.
The ideal candidate will have a strong background in analytics, coding, and statistical analysis. They will be responsible for collaborating with stakeholders, designing and evaluating models, gathering and processing data, and providing insights to improve Google's products. This role offers the opportunity to work on cutting-edge technology and make a significant impact on Google's diverse range of products and services.
Google offers a competitive salary range of $150,000-$223,000 plus bonus, equity, and benefits. The company is committed to fostering a diverse and inclusive work environment, providing equal opportunities for all qualified candidates.
Responsibilities For Senior 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, as well as the existing and upcoming data infrastructure.
- 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 Senior Data Scientist, Research
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
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