Business Data Scientist, YouTube Marketing Shopping

Google • New York, NY

9d

About The Position

In this role, you will join the YouTube Marketing Data Science, Infra and
Analytics (DSIA), a analyst team that influences and informs YouTube’s marketing
and products teams. You will work on projects that drive GTM and brand strategy
for YouTube using data to ensure our marketing efforts are efficiently and
effectively deployed.

As a Business Data Scientist on YouTube Shopping, you will be instrumental in
optimizing marketing campaigns across the entire YouTube Shopping creator and
viewer life-cycle. You will leverage your expertise in experimental design, data
analysis, and machine learning to drive tangible improvements in creator
engagement, viewer awareness, and overall platform efficacy.At YouTube, we
believe that everyone deserves to have a voice, and that the world is a better
place when we share, and build community through our stories. We work together
to give everyone the power to share their story, explore what they love, and
connect with one another in the process. Working at the intersection of
cutting-edge technology and boundless creativity, we move at the speed of
culture with a shared goal to show people the world. We explore new ideas, solve
real problems, and have fun — and we do it all together.

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.

Nice To Haves

• 5 years of experience in the consumer tech, media, or entertainment industry.
• 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.
• Experience in causal inference techniques with a proven track record of applying them to solve business problems.
• Experience with advanced modeling techniques, including Marketing Mix Modeling (MMM), user LTV forecasting, and churn prediction and in e-commerce, retail analytics or two-sided marketplaces.
• Excellent communication and presentation skills, with a knack for distilling topics into simple, powerful messages.

Responsibilities

• Partner with Growth Marketing and Product teams to analyze and optimize the end-to-end shopper journey, from acquiring new shoppers to driving repeat purchases.
• Develop user segmentation and propensity models to power personalized marketing campaigns, targeting shoppers with the right product at the right time.
• Collaborate with engineering and marketing to determine the signals we need to ensure we are connecting creators and viewers with the right offers at the right time.
• Develop and own the LTV models for YouTube shoppers, providing a critical input for long-term planning and investment.
• Design incentive programs experiments and optimize life-cycle communications with incentives.

What This Job Offers

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