Data Scientist

  • Full-time

Job Description

The Data Scientist will contribute to the ideation, design, development, and deployment of end-to-end analytics applications and solutions.  The primary responsibilities are analytics product development and statistical modeling related to media effectiveness and efficiency measurement. The applications we create are critical for helping internal teams optimize media planning and buying. This role is with the Architecture & Technology, Product Team within Advanced Analytics & Insights (AAI).

Key Responsibilities

  • Work collaboratively within cross-functional teams to gain a deep knowledge of business goals and challenges, and then using this knowledge to design and build analytics application prototypes
  • Work with external analytical stakeholders (both internal media teams and external clients) to plan, analyze, and execute against client analytics roadmaps
  • Proof-of-concept implementation of advanced statistical modeling and machine learning algorithms 
  • Design and build models for software application prototypes
  • Ability to perform analyses and tests that quantify the business value of an opportunity
  • Ability to contribute at every stage of analytics product and solution development; i.e., data acquisition, data preprocessing, descriptive and predictive modeling, creating insights, and automation

Qualifications

  • Bachelors and/or Masters in any quantitative field; 2+ years academic or industry work experience applying data science
  • Extensive programming experience in Python; SQL, comfortable working in both Windows and *nix environments
  • Strong analytical skills with solid foundation in many of the following statistics and machine learning techniques: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, etc.), clustering (k-means, hierarchical, etc.), and other machine learning and artificial intelligence techniques; experimental design; and forecasting/sensitivity analysis
  • Extensive experience with statistical software packages (SAS, Stata, and/or R)
  • Strong business judgment
  • Ability to rapidly brainstorm and develop testable ideas alone or with teams
  • Experience developing and deploying data pipelines to support analytics applications
  • Ability to build solutions that integrate with Hadoop, MS SQL Server, Windows Application Server, Tableau Server, and third-party APIs

Additional Information

All your information will be kept confidential according to EEO guidelines.
Privacy Policy