Join Google as a Senior Data Scientist, Research

Minimum Qualifications:

Candidates for the Senior Data Scientist, Research position at Google should possess a Master's degree in a quantitative field such as Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, or Engineering. Applicants must also have at least 5 years of professional experience in utilizing analytics to address product or business challenges, encompassing skills in coding (e.g., Python, R, SQL), querying databases, or statistical analysis. Those with a PhD may qualify with 3 years of relevant experience.

Preferred Qualifications:

Ideal candidates will bring 8 years of work experience in similar analytics roles or possess 6 years of experience post-PhD. Experience should include solving complex problems in product development or business environments, with a strong proficiency in statistical analysis, coding (e.g., Python, R, SQL), and database querying.

About the Job at Google

Google is recognized globally as a leader in engineering, innovating solutions that impact billions of users worldwide. At Google, data scientists are at the forefront of solving technological challenges. They work on everything from scalable systems and data storage solutions to new platforms for developers globally. Google products like Ads, Chrome, Android, and YouTube continuously evolve thanks to our groundbreaking work.

As a Senior Data Scientist at Google, you will analyze and enhance the technical capabilities of Google's diverse product portfolio. Working alongside a multidisciplinary team of engineers and analysts, you will apply your analytical prowess to a variety of challenging problems, always with an eye toward the end user experience.

Compensation & Benefits

The position offers a competitive salary range from $150,000 to $223,000 annually, based on the role, level, and location. Compensation packages also include bonuses, equity options, and comprehensive benefits. Specific salary ranges pertinent to the preferred location will be detailed during the recruitment process.

Responsibilities of a Senior Data Scientist at Google

Key responsibilities include:

• Collaborating across teams and projects to refine and answer pivotal business or product questions.
• Utilizing specialized knowledge to use or create data models and infrastructure, designing mathematical models that provide impactful solutions.
• Conducting thorough data gathering across multiple sources, ensuring quality via advanced analytic tools (SQL, R, Python).
• Leading efforts in data preparation, including validating and formatting datasets to make them analysis-ready.

This opportunity is ideal for analytical professionals eager to impact world-changing technologies. You will not only contribute to expanding product lines but also refine them by integrating user behavior insights to suit global needs.

Apply now to become a part of a company that shapes the future daily, pushing boundaries in technology and innovation.