Senior Data Scientist

Publicis Groupe•Birmingham, MI

11d•$77,000 - $86,000

About The Position

At Publicis Collective, we know tomorrow's challenges won't be solved by today's solutions. It's why we support our teams with the resources and tools they need to continue redefining the future of marketing. It's also why clients rely on us to lead the way in connecting media, data, technology, and teams by what matters most - business outcomes. Publicis Collective's consultative practitioners are catalysts for business growth and innovation, we're more than media experts. We are an incubator for high-performing talent and a launchpad for ideas that push the boundaries of what's possible. As part of the global Publicis Media network, we're backed by the power, scale, and benefits of Publicis Groupe, one of the largest and most celebrated marketing and communications platforms on the planet. How are we different? There are three core values at the center of our approach that help us stay ahead - curious, open, and driven. Curious - A deep curiosity compels us to go beyond the brief to deliver exceptional outcomes. Open - We value diverse perspectives and new ways of working. Driven - We are ambitious, rigorous, self-disciplined, and resilient in our pursuit of excellence. If you're a collaborative and enterprising practitioner with a passion for media and a desire to make a real impact, we want to hear from you. Let's shape the future together. Overview 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. Responsibilities As such, a manager is a mentor, project manager, and thought leader, all at the same time.

Requirements

3+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
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 advertising media channels, such as Television,
Radio, Print, Search, Display, Email, Ecommerce, and Social.
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.
Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups.

Responsibilities

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.