Senior Analyst, Data Science​/Machine Learning

Company description

Zenith is a full-service media agency with capabilities and expertise across all channels and disciplines. Zenith is part of Publicis Media, the #1 media buying network in the Americas and #2 globally. As “The ROI Agency,” Zenith’s expertise lies in driving real, tangible business outcomes, not just media metrics, that will have a measurable effect on our clients’ business. Every investment we make has an ROI mindset—not just for our clients, but for our agency ’re focused on driving the maximum value for our people, our capabilities and our media investments for some of the world’s leading brands.

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 Senior Analyst look like?

We look for prior experience in media analytics, especially digital media and audiences segmentation/modeling. 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.

What does a Senior Analyst 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 Senior Analyst will also help formulate a vision for their accounts and bring that vision to life.

• Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g., classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.).
• Produce accurate statistical analysis and ensure high quality of the data analysis produced.
• Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations.
• Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting.

• 1+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives.
• 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 Inference, Markov Chain Monte-Carlo (MCMC).
• Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA).
• Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research strongly preferred.
• Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups.

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We…