Senior Business Data Science Manager, Youtube Marketing

Senior Business Data Science Manager, YouTube Marketing

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA.

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Computer Sciences or equivalent practical experience.
• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis.
• 5 years of experience as a people manager within a technical leadership role.
• Experience in causal inference, A/B testing, statistical modeling, or machine learning.
• Experience in SQL and Python programming, leveraging ML or statistical libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas).

Preferred qualifications:

• Experience using Causal Inference or Bayesian Statistics.

About the job:

YouTube Marketing Data Science, Infra and Analytics (DSIA) is an analyst team that influences and informs YouTube's marketing and products teams. We work on projects that are at the heart of Go-To-Market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed. This role will lead to a team that drives full stack measurement and insights for YouTube Shopping and Creator marketing. In this role you will work closely with YouTube's marketing and product to grow our creator community with life-cycle communications that drive valuable creator actions (e.g., joining our shopping business generation programs, enabling channel memberships, adopting new features etc). You will be tasked with developing an understanding of creator propensity and uplift from marketing such that interventions achieve outsized ROI and are driving meaningful creator interactions. You will also shape our initial viewer marketing to drive YouTube shopping, working closely with marketing, product and engineering to ensure an experimentation plan and signal mapping such that we can grow awareness and adoption of YouTube shopping from our viewers.

The US base salary range for this full-time position is $248,000-$349,000 + 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.

Responsibilities:

• Lead a team of Business Data Scientists and Analysts in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business.
• Embed with marketing leadership on YouTube shopping and YouTube creators to understand their high level goals and translate those into data science and investigative priorities.
• Design experiments and use causal inference to measure effectiveness of models, tools, and programs.
• Drive internal visibility and opportunities for the team, define team strategy in partnership with leadership and stakeholders, and remove technical and organizational blockers.
• Build a team with a collaborative and growing growth culture. Develop your team to reach their career goals through coaching and development opportunities.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.