Associate Director, Data Science Expert

3 days ago

Philadelphia, Pennsylvania, United States Insagic Full time
Job Description

At Insagic, a Publicis Health company, we are a next-generation insights and advisory business that combines data, design, and dialogues to deliver activatable insights and transformational intelligence that healthcare marketers need to succeed and grow in today's platform world.

We are seeking a highly skilled Associate Director, Data Science to join our team. As a key member of our Data Sciences team, you will work closely with both the Planning and Analytics teams to design and implement statistical models and machine learning solutions that tie our clients' marketing to real-world business goals.

Key Responsibilities
  • Design and Development
    • Design, estimate, tune, score, and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.).
  • Data Analysis and Interpretation
    • 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.
  • Data Management
    • Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation, and reporting.
Requirements
  • 5+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction data to address business objectives.
  • 2+ years 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 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.

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