Zenith is looking to solve marketing problems for their clients by designing and implementing statistical models and machine learning solutions that tie their clients' marketing to real-world business goals.
Requirements
- 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
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.
Other
- Bachelor's degree in a STEM or other related field, or equivalent work experience.
- 1+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
- Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups.
- Medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
- If you require accommodation or assistance with the application or on-boarding process specifically, please contact USMSTACompliance@publicis.com.
