Manager, Data Science (Audience Solutions)

About the role

Zenith Data Sciences designs and implements statistical models and machine learning solutions that tie clients’ marketing to real-world business goals. The team uses these models to understand past performance, predict future performance, and inform and optimize future decisions, helping clients understand if they are talking to the right people in the right way.

Responsibilities

• Collaborate with Planning, Audience Strategy, and Analytics teams to solve marketing problems.
• Design models and data science solutions based on clients’ business needs and communicate insights through compelling stories.
• Formulate and execute a vision for accounts, serving as mentor, manager, project manager, and thought leader.
• Represent the team to external clients and internal leadership.

Qualifications

• 3+ years of work experience in quantitative analysis with proven results leveraging customer/transaction data to address business objectives.
• 1+ year in a managerial role.
• Bachelor’s degree in a STEM or related field, or equivalent work experience.
• Strong knowledge of Relational Databases and SQL programming.
• Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R.
• Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems.
• Familiarity with the mathematics behind statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, and Markov Chain Monte-Carlo (MCMC).
• Familiarity with advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), and Multi-touch Attribution (MTA).
• Familiarity with the capabilities and mechanics of advertising media channels, including Television, Radio, Print, Search, Display, Email, Ecommerce, and Social.
• Familiarity with marketing measurement technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research.
• Strong communication skills with the ability to present work professionally by phone or in small groups.

We welcome candidates with diverse backgrounds and experiences. A passion for emerging tech and media, a data-driven approach, and a hunger to learn are valued traits.