Business Data Scientist II, gTech

Google LLC•Boulder, CO

29d

About The Position

In gTech Users and Products (gUP), our mission is to advocate for Google's users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally, we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more). Google's leadership team hand-picks multi-year business challenges, and members of Product Management, Engineering and gUP Analytics work in small teams to find solutions. We are the analytics team, supporting gTech Users and Products (gUP) team, with key focus on elevating user voice and delivering insights to improve user experience with support and drive a successful product experience, and leveraging ML/AI and Data Science to drive a seamless support experience by improving support resources, aligning support with user needs, and advocating user pain points to Product Areas (PAs), and also enabling seamless experiences across products through scaled solutions, and elevate the user voice for cross-products user issues. In this role, you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you will also communicate your recommendations to the executive level, to help drive implementation and check back-in to see the impact of your recommendations.

Requirements

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience building and deploying artificial intelligence or machine learning models.
Experience developing and deploying AI agents or intelligent systems.

Nice To Haves

4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Ability to craft engaging/compelling narratives in verbal and written communications for internal/external clients (e.g., executive stakeholders).
Ability to manage multiple projects with engaging priorities.
Excellent organizational and project management skills.

Responsibilities

Work on Artificial Intelligence/Machine Learning (AI/ML), metric development, data prototyping, and insight generation using statistical techniques.
Work with Product Management, Engineering, User Experience Research, and Operations teams to identify areas to focus effort.
Solve ambiguous problems and discover insights that drive operational, product, and marketing excellence.
Ensure users have excellent product and service experiences.

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