Business Privacy Consultant, gTech Professional Services

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques

Job Description

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience
• 4 years of experience in data security
• Experience in Python, Statistics, and Machine Learning
• Experience working with user-level and aggregated data

Preferred qualifications:

• Experience working in the ad privacy space
• Experience with first-party data activation, measurement and data modeling, consent, and privacy standards
• Experience with Google Cloud Platform

About the job

gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide consulting and solutions to large advertisers and agency partners. Through technical implementation, optimization, and engineering solutions, gTech Professional Services helps customers achieve their business goals while building long-term tech and marketing capabilities.

The gPS Marketing Data Science team helps measure and optimize marketing return on investment (ROI) for Google’s clients. We help build bespoke models that address client’s key business questions. We are multi-disciplined professionals, PhDs, statisticians, economists, engineers, and former consultants with deep experience in Data Science, Machine Learning, and Marketing Analytics. We learn the innovative technologies that drive Google products and bring those innovations to life in the context of 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 new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

Responsibilities

• Work in close collaboration with the data science community, the Global Business Practice, Privacy Solutions Engineering teams, and Sales to develop and deliver privacy related solutions.
• Design, develop, and prototype new privacy related solutions, in collaboration with engineers, that follow data protection standards and meet client needs.
• Use a variety of machine learning and statistical techniques to model outcomes in the presence of data loss or removal.
• Experiment with new privacy technologies to develop solutions for areas not yet included in Google's portfolio.
• Serve as a thought leader, reviewing and critiquing code and solutions that are developed by other data scientists and engineers.