Full-Time Marketing Data Scientist, gTech Marketing and Privacy
Job Description
Minimum qualifications:
- Bachelor’s degree in Statistics, Computer Science, Engineering, Mathematics, a related quantitative discipline, or equivalent practical experience.
- Experience in quantitative analytics with a focus on marketing analytics, statistical modeling, machine learning, digital attribution, forecasting, or predictive analytics.
- Experience programming in Python or R.
Preferred qualifications:
- PhD in Statistics, Computer Science, Engineering, Mathematics, or equivalent practical experience.
- Experience with analytic software tools and languages (e.g., SQL, R, TensorFlow, Python, SAS, SPLUS, and Eviews).
- Experience in a customer industry including: retail, financial services/retail banking, insurance, telecommunications, automotive, and consumer packaged goods (CPG).
- Experience using/deploying digital analytics and measurement solutions with SQL and big data.
- Understanding of media ( e.g., paid, owned, and earned) and the statistical algorithms typically used in Marketing Analytics.
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 solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.
As a Marketing Data Scientist, you will help build models that address client’s business questions. You will work among Statisticians, Economists, Engineers, and former consultants.
You will learn the innovative technologies that become Google products and bring those innovations to reality in the context of a specific client engagements.
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 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 .
Responsibilities
- Lead analytics aspects of client engagements in the area of marketing effectiveness, YouTube adoption, personalization, and privacy.
- Work with data sets, solve analysis problems, apply advanced analytical methods (e.g., statistical and machine learning models) as needed. Conduct analysis that includes problem formulation, data gathering, requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Work with the client and internal teams to translate data and model results into tactical and strategic insights that are complete, accurate, and applicable to decision-making and needs for varying client audiences.
- Collaborate with technical teams to increase and optimize capabilities, employ methods which create opportunities for scale, and lead innovation.
- Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Google media.
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 and If you have a disability or special need that requires accommodation, please let us know by completing our .
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