Product Activation Incentives Technical Analyst, YouTube

Google

San Bruno, CA

JOB DETAILS
SKILLS
Analysis Skills, Business Analysis, Business Intelligence, Business Strategy, Centralized Operations/Management, Computer Science, Cross-Functional, Data Analysis, Data Management, Data Science, Data Sets, Data Warehousing, Database Programming Languages, Economics, Ecosystems, Equal Employment Opportunity (EEO), Funding, Illustrating Ability, Leading Edge Technology, Mathematics, Organizational Development/Management, Podcasting, Predictive Modeling, Pricing, Problem Solving Skills, Process Improvement, Product Pricing, Python Programming/Scripting Language, Relational Databases (RDBMS), SQL (Structured Query Language), Space Science, Statistics, Strategic Analysis, Technical Analysis, YouTube
LOCATION
San Bruno, CA
POSTED
30+ days ago
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; New York, NY, USA.

Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related technical field, or equivalent practical experience.
  • 3 years of experience using Python or similar languages for building, validating, and deploying predictive models (e.g., propensity, classification).
  • 3 years of experience with data analysis, relational databases, and SQL.

Preferred qualifications:

  • Master’s degree in Data Science, Engineering, Mathematics, Statistics, Economics, Applied Science, or a related field.
  • 5 years of experience in the technical analytics space (data science, data engineering, product analyst, business analyst, business intelligence, etc.).
  • Experience using Python for the full modeling lifecycle, from feature engineering and model selection to productionalization.
  • Experience drawing insights from data sets using SQL to drive both business and technology decisions.

About the job

The YouTube Business Central Strategy and Operations team is responsible for leading global, cross-functional initiatives to drive the unprecedented growth and health of the YouTube creator and partner ecosystem. Within the broader team goal, the Incentives Strategy and Analytics team is responsible for designing and operationalizing the core product activation system for YouTube's partner managers.

As a Product Activation Incentives Technical Analyst within this team, you will be part of the engine driving the activation of key YouTube products globally and at scale. In this role, you will be responsible for improving our recommendations and pricing models to maximize the impact of partner managers.

You will be an individual with a bias toward action and a knack for solving "messy" business problems. You will be a systems thinker who enjoys using Python and SQL to deploy predictive models that power YouTube’s incentive systems and product activation at scale.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $126000 - $181000 (USD) + 15% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

Responsibilities

  • Design and build predictive models to power product activation recommendations for YouTube product priorities like shopping, fan funding, podcasts, etc.
  • Generate useful product activation insights and reporting to inform product Go-to-market (GTM) and program strategy.
  • Improve YouTube Business Organization’s central scaled incentives system through design levers like pricing, goals, etc.
  • Own problem solving lifecycle from generating hypotheses, analyzing data, distilling insights to communicating recommendations in a structured way.
  • Develop and deploy propensity models using Python, integrating them directly into automated data pipelines to scale predictive insights across the YouTube ecosystem, and navigate YouTube's data warehouse to access and work with relevant data using SQL and other query languages.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V