Marketing Data Scientist, Professional Services, gTech

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Minimum qualifications:

• Bachelor's degree in Statistics, Computer Science, Engineering, or Mathematics, related quantitative discipline, or equivalent practical experience.
• Experience in Python or R.
• Experience in data management systems.

Preferred qualifications:

• PhD in Statistics, Computer Science, Engineering, or Mathematics.
• Experience in data science with a focus on marketing analytics, statistical modeling, machine learning, forecasting, and optimization.
• Experience with big data and cloud platforms to deploy large-scale data science solutions.
• Knowledge of media 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 key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.

As a Marketing Data Scientist, you'll work closely with our clients to produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness, return on investment and prediction. The Global Premium Services team generates scalable solutions to help our Sales teams and advertisers globally. We work with Sales, Product, and Engineering teams within Google to develop better tools and services to improve our products based on the evolving needs of our users. As a cross-functional and global team, it's our job to help keep the lights on and the ads relevant.

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

• Support complex customer engagements with data science solutions as well as accurate predictions of future activities.
• Support critical aspects of customer engagements in marketing effectiveness and marketing portfolio management.
• Translate, simplify, and communicate with business stakeholders using models, in the simplest and most practical ways to improve business and other critical metrics.
• Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
• Manage challenges, concerns, or opportunities from projects related to scope, ongoing maintenance, complexity and contacts. Improve internal processes and consult changes in external business partner or customer processes.