VP, Head of Data Science (MarTech)

Client / Role Overview:

Our client's market-leading data intelligence platform is currently used by most of the Fortune 500 to optimize their cross-platform marketing and advertising spend. Company revenues are outpacing projections, and they are expanding in all areas over the next 18 months. The company is also backed by a multi-billion dollar mobile telecom parent.

This role of VP, Head of Data Science is ideal for a person who gets excited about doing Data Science-based R&D using Machine Learning and AI. Someone who seeks to lead (hands-on) a team of 10 Ph.D. Data Scientists to research and develops innovative large-scale data science products in the martech/adtech domain. There is massive and unique real-time data to leverage, as well as an install base of clients that reads like a "who's who" of the global economy.

Responsibilities:

• Manage a current team of 9 Data Scientists and grow it
• Make the core marketing leading consumer identity platform more accessible, flexible, dynamic, and on-demand
• Model and put into production

Tech Stack:

• Scala, Python
• Spark, SparkML, H2O, AutoML, SciKit Learn, etc.
• Google Cloud Platform (GCP), BigTable, BigQuery

Qualifications:

• Relevant Ph.D. (i.e. Computer Science, Mathematics, Statistics or other relevant quantitative fields).
• A proven track record of data science leadership and hands-on experience as a Data scientist
• Domain experience with MarTech / Adtech / Programmatic / Consumer Behavior / Attribution / Audience Segmentation & Targeting.
• Experience in working on large-scale, distributed systems environment
• Expertise in applying Machine Learning and Artificial Intelligence on large-scale data
• Experience facilitating collaboration between geographically distributed cross-functional teams
• Deep knowledge of software development life-cycle, and Agile methodologies