Marketing Analytics Acquisition Director

Role Overview

We are seeking a Marketing Analytics Acquisition Director to lead a team of Data Scientists in developing and deploying data science for marketing acquisition analytics. The ideal candidate will have a passion for developing others, driving change, and continuously improving and evolving the application of technologies to meet today’s and tomorrow’s challenges.

What You Will Do

The Marketing Analytics Acquisition Director will set the strategy and vision for marketing analytics and data science, lead analytics supporting consumer acquisition marketing, develop and execute campaign measurement strategies, and lead the end-to-end analytical and model development process.

Why It Might Be a Fit

The ideal candidate will have a strong background in data science, leadership, and communication, with experience in predictive modeling, big data analysis, and cloud machine learning technologies.

Requirements

• Master’s degree in computer science, statistics, economics or related fields
• 10+ years of experience in strategy, management consulting, or similar skillset, experience working with analytics, and technical leadership and management experience on data-centric products
• Hands-on manager with a proven track record of leading and growing successful data teams
• Strong knowledge in predictive modeling methodology
• Experience conducting statistical analysis
• Experience with big data analysis tools and techniques
• Experience building and deploying predictive models, web scraping, and scalable data pipelines
• Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
• Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
• Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
• Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
• Financial Services background

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401k
• Paid time off
• Flexible work arrangement