Business Data Scientist, YouTube+

Google • San Bruno, CA

3d • $138,000 - $198,000

About The Position

Google's leadership team hand-picks thorny business issues, and members of
BizOps work in small teams to find solutions. As part of this team 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 also persuasively communicate your recommendations to senior-level
executives, roll-up your sleeves to help drive implementation and check back-in
to see the impact of your recommendations.

As a YouTube team member, you will bring knowledge of our products, spanning
both ad and consumer, with a primary but not exclusive focus on YouTube. You
will apply problem-solving, technical and analytical skills to drive impactful,
convincing and principled business decisions always grounded in data, these will
include ad hoc questions from the business, as well as multi-year projects to
evolve Global Business Organization (GBO’s) priorities, strategy, and metrics.

In this role, you will bring all these skills together in the service of
supporting key business decisions. You will also be adept at building strong
cross-functional relationships with various stakeholders and using data to
influence strategy and outcomes. You will report into the Senior Business Data
Scientist Manager leading YouTube+ efforts as both are based in San Bruno.The US
base salary range for this full-time position is $138,000-$198,000 + 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

• 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

• 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 with code management concepts (Google3, Cider, Blaze) and to evolve at pace with AI.

Responsibilities

• Lead a portfolio of data-driven analysis projects within a technical team to guide and support decision making for YouTube.
• Build relationships with the YouTube team and present the Finance Point of View (POV) in various decision-making forums.
• Design infrastructure and tooling to assess the value customers derive from YouTube products (such as DemandGen and Brand), and identify opportunities to accelerate budgets.
• Build tooling to decompose growth drivers and surface areas of opportunity across all regions and channels.
• Drive the development of next-generation opportunity sizing methods and tooling, collaborate with partner teams (e.g. Brand Planner) to deliver consistent, high-quality work to leaders and sellers, including contributing to the statistical incrementality workstream and co-developing new methodologies with Econ.

What This Job Offers

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