Senior Data Scientist, Applied AI

Google • Sunnyvale, CA

8h • $156,000 - $229,000

About The Position

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications, and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

As a Senior Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multidisciplinary team of engineers and analysts on a wide range of problems. You will bring scientific accuracy and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of the end user.

The Applied AI team focuses on building and deploying AI agents for enterprise customers across a variety of industries. The organization has historically not had a data team and we are building one from scratch. This is a great opportunity for someone who grows in ambiguity, has a strong product mindset, and enjoys working in a 0-1 startup environment.

In this role, you will inform product strategy and launches and play a critical role in how we shape and scale the team. You will have a track record of working with AI. You will rapidly prototype ideas, and contribute to a team that's driven to exceed industry expectations.
The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/].

Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.

Nice To Haves

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

Responsibilities

• Be the end-to-end data owner of a product area and closely collaborate with your respective engineering, product, and UX leads to build products that have product market fit and traction in the market.
• Be comfortable working with ambiguity and understand the broader business context and propose solutions that help propel the team forward and make effective data drive decisions.
• Be a proactive thought partner and strategic partner to your cross-functional partners.
• Work on creating, improving, and assessing eval data sets to improve AI agent quality.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level