Manager, Data Science; Audience Solutions

Company Description

Zenith is one of Publicis Groupe’s largest media agencies, spanning 95 markets globally with US offices in New York, Burbank, Chicago, Atlanta and Detroit. For more than 30 years, we have been at the forefront of media, helping to evolve and reshape the industry. We are highly regarded as a true agency partner by many high-profile brands for our expertise across numerous categories and wide range of capabilities that are unparalleled in the industry.

Clients hire us for our track record of excellence in strategic planning, investment, and measurement. We also have specialist offerings, including content, commerce, multicultural and future-proofed data capabilities.

Zenith is one of Publicis Groupe’s largest media agencies, spanning 95 markets globally with US offices in New York, Burbank, Chicago, Atlanta and Detroit. For more than 30 years, we have been at the forefront of media, helping to evolve and reshape the industry. We are highly regarded as a true agency partner by many high-profile brands for our expertise across numerous categories and wide range of capabilities that are unparalleled in the industry.

Clients hire us for our track record of excellence in strategic planning, investment, and measurement. We also have specialist offerings, including content, commerce, multicultural and future-proofed data capabilities.

What does Zenith Data Sciences do? Working closely with both the Planning and Analytics teams, Data Sciences designs and implements statistical models and machine learning solutions that tie our clients’ marketing to real-world business goals. We use these models to understand past performance, predict future performance, and inform and optimize future decisions. Our work brings our clients closer to their marketing, helping them understand if they are talking to the right people in the right way.

What does a successful Manager of Data Science look like? We don’t all look the same, and we don’t expect you to, either. But successful members of our team generally have a passion for emerging tech and media, bring a data-driven approach to decision-making, have a fresh perspective and share it in a positive way, don’t shy away from a challenge, and are always hungry to learn more.

Among Manager candidates, we look for prior experience in media analytics, especially digital media and audiences segmentation/modeling. You should be seasoned at representing your team to external clients and internal leadership. We hope you have a love for numbers and know how to bring data to life through a compelling story. We’re also hoping you have at least 1-2 years of experience managing team members and have at least 4 years of prior professional experience.

What does a Manager of Data Science do day-to-day? You will work very closely with planning, audience strategy and analytics teams to help them solve marketing problems. They also contribute crucial intellectual capital to the data science team by sharing knowledge and designing models and Data Science solutions based on their clients’ business needs and using data to tell great stories.

A Manager will also help formulate a vision for their accounts and bring that vision to life. As such, a Manager is a mentor, manager, project manager, and thought leader, all at the same time.

• 3+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
• 1+ Year in a managerial role
• Bachelor’s degree in a STEM or other 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 important statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian…