Director, Data Science

RAPP•Chicago, IL

24d•$135,000 - $148,500•Hybrid

About The Position

RAPP Chicago is looking for a Director, Data Science to join our award-winning Marketing Sciences team. WHO WE ARE: We are RAPP - world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual's needs, beliefs, behaviors, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. HOW WE DO IT: At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning. Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it - ensuring we're able to activate authentic customer connections for our clients. Part of Omnicom's Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets YOUR ROLE: The Director, Data Science heads a team of Advanced Analytic Solutions data scientists in leveraging a holistic view of customer and campaign data to provide actionable insights, algorithms, and computational solutions to real-world marketing challenges through the application of technology-based mathematical methods. Under the direction of the VP, Advanced Analytics Solutions (AAS), the Director, Data Science drives the development and implementation of the vision for RAPP's offering from a multitude of data sources leveraging a variety of systematic techniques to deliver value for our clients. The Director, Data Science works with multidisciplinary teams to inform, power, measure, and optimize marketing efforts.

Requirements

Master's degree in a relevant academic practice (e.g. Computer Science, Applied Mathematics, Engineering, Statistics, Data Science, etc.)
8+ years relevant work experience
Proven proficiency with common languages used in Data Science: Python, R, SQL
Experience interacting directly with external Clients
Experience managing or mentoring experienced and entry-level Data Scientists
Proficiency in working with structured and unstructured data and APIs
Proficiency in statistics, model building, machine learning, and algorithm construction
Proven communication and presentation skills

Nice To Haves

Automotive industry experience
Familiarity with Databricks and the AWS stack: Sagemaker, Redshift, S3, EC2, Glue, Athena
Agency experience a plus
Experience with Spark, Scala
Familiarity with Natural Language Processing and Image Recognition

Responsibilities

Leverage Machine Learning and Artificial Intelligence on behalf of RAPP clients to drive Customer Experience and Marketing Optimization to include but not limited to: Profile-based, Behavioral, LTV and other Customer Segmentation frameworks Propensity, Look-Alike, Loyalty, Response, Net Lift, Journey Pathing, Recommender, and other customer-focused models Media Mix and Marketing Attribution models Leads, sales, and other KPI time series forecasting models
Perform necessary Data Engineering tasks to create prototypes of the above tools and to create requirements for the RAPP Technology team to implement tools promoted to production
Research and apply new techniques and tools which drive value for RAPP clients
Manage competing priorities across a portfolio of client projects
Partner with RAPP Analytics, Technology/Data, Account, Strategy, Campaign, Project Management, and Media Planning teams as needed to drive insights and value for RAPP clients
Deep understanding and expertise of digital marketing ecosystem modeling and insights, including but not limited to display, programmatic, video, social, email, and direct mail.
Attract, Nurture and Retain the best talent; Build and manage a team of data scientists capable of meeting needs of agency and client.