Senior Data Scientist, Research

Google is an engineering company that revolutionizes search, develops massive scalability solutions, and creates technological achievements impacting billions of users.
$150,000 - $223,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Scientist, Research

Google, a pioneering engineering company, is seeking a Senior Data Scientist for their Research team. This role offers an exceptional opportunity to impact billions of users through revolutionary technological achievements. As a Data Scientist, you'll be at the forefront of evaluating and improving Google's products, working alongside a multi-disciplinary team of engineers and analysts.

The position requires strong analytical and technical skills, with a focus on solving complex product and business problems through data-driven approaches. You'll utilize your expertise in Python, R, and SQL to gather, analyze, and interpret large datasets, while collaborating with stakeholders to translate business questions into actionable insights.

The role offers competitive compensation, including a base salary range of $150,000-$223,000, plus bonus, equity, and comprehensive benefits. Located in Mountain View, CA, you'll be working at the heart of Google's innovation center. The ideal candidate will bring scientific excellence and statistical methods to product development, with a deep appreciation for user behavior.

This is an excellent opportunity for someone with a strong quantitative background who wants to make a significant impact on Google's product ecosystem. You'll be part of a company that values diversity, inclusion, and innovation, while working on challenges that affect millions of users worldwide. The role combines technical expertise with business acumen, offering a chance to shape the future of Google's products and services.

Last updated 4 days ago

Responsibilities For Senior Data Scientist, Research

  • Collaborate with stakeholders to identify and clarify business or product questions
  • Design and evaluate mathematical models to solve defined problems
  • Gather information, business goals, priorities, and organizational context
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools
  • Format, re-structure, and validate data to ensure quality

Requirements For Senior Data Scientist, Research

Python
  • 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
  • English proficiency

Benefits For Senior Data Scientist, Research

Medical Insurance
Equity
  • Base salary
  • Bonus
  • Equity
  • Benefits package

Interested in this job?

Jobs Related To Google Senior Data Scientist, Research

Senior Data Scientist, Research, Ads Metrics

Senior Data Scientist position at Google working on Ads Metrics research, offering competitive salary and benefits, requiring 5+ years of experience in analytics and data science.

Senior Data Scientist, Research, Ads Metrics

Senior Data Scientist position at Google working on advertising metrics research, offering competitive salary and benefits, requiring 5+ years of analytics experience.

Senior Product Manager, Databases & Analytics, Google Cloud

Senior Product Manager position at Google Cloud focusing on Databases & Analytics, offering competitive compensation and benefits.

Senior Data Engineer, gTech Users and Products

Senior Data Engineer position at Google's gTech division, focusing on building large-scale data systems and ML pipelines with competitive compensation and benefits.

Customer Engineer, Data Analytics, Google Cloud

Senior Customer Engineer role at Google Cloud focusing on data analytics, requiring 10 years of experience in cloud architecture and big data technologies.