Manager, Marketing Data Scientists, Gtech

3 days ago

Singapore Google Full time

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum qualifications:

- Bachelor's degree in Computer Science, Mathematics, Statistics, or Economics.
- 13 years of experience working as people manager in an analytics or data science field.
- Experience with coding in Python or R.

Preferred qualifications:

- PhD in Statistics, Computer Science, Mathematics or a similar field.
- Experience in consulting and services within Business Intelligence and Analytics.
- Experience with analytic software tools and languages (e.g., SQL, R, TensorFlow, Python, SAS, etc.) and an understanding of the statistical algorithms used in Marketing Analytics.
- Ability to visualize models and results + ability to debug and troubleshoot code and models.
- Ability to engage stakeholders at various levels.

**About the job**:
gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.

As a Manager of Marketing Data Scientists, you will take a creative, collaborative, and customer-centric approach to provide consulting and solutions to large advertisers and agency partners. You will use technical implementation, optimization, and engineering solutions to help customers achieve their business goals while building long-term technology and marketing capabilities.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

**Responsibilities**:

- Lead and deliver analytical solutions and insights to supported organizations, managing the outcomes for multiple related projects or a high-stakes project.
- Manage and influence the delivery of project work including implementing data science solutions, improving data, developing evaluation metrics, or building statistical models that provide insights to the business.
- Manage strategy and creation of a portfolio of work with clarity and consensus amongst multiple stakeholders.
- Manage teams, stakeholders, and programs of work that adhere to the team's development process.
- Promote community behaviors that maximize knowledge sharing and solution reuse.

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.

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