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Senior Manager - Data Science

Company Name: L'Oréal
Location: New York, NY
Date Posted: 17th Oct, 2016
Description:
  • Lead in the transformation of data-driven decision making in marketing to include predictive analytics
  • Deliver on innovating and refining measurement methodologies for marketing that address broad and narrow business objectives
  • Drives performance against business objectives which include, but are not limited to: growing revenue, growing share, increasing profitability
  • Develop analytical road map that integrates modelling and predictive analytics into current and new business intelligence activities
  • Collaborate closely with Digital IT to govern and help facilitate best practices in: Data Collection, Governance, and Hygiene
  • Collaborate closely with Data Team to identify new sources of data relevant for modelling business outcomes
  • Lead in the following analytical projects, but are not limited to: Product Recommendation Engines, Targeting Segmentations, Predictive Consumer Behavior Models
  • Improvements to product and content search and sorting
  • Prediction of subscriber churn, sample conversion, shop activation, etc.
  • Evangelize Data-Influenced Decision Making within the broader organization via education, presentations, 1-on-1 conversations, etc.
Qualification:
  • At least 3-5 years of relevant experience; Preferably 1 years of management experience.
  • Strong understanding of retail (e-commerce, brick & mortar, indirect selling through wholesale)
  • Hands-On Experience in the following areas:
    • Mathematics: Linear Algebra, Matrix Computation, Diffusion Geometry, Applied Mathematics, Statistics, etc.
    • Statistical Tools: R, SAS, SPSS, SciPy, Stata, etc.
    • Programming Languages: Python, C/C++, Java, Ruby, Perl, MATLAB, Pig, etc.
    • Relational Databases: SQL-based systems, NewSQL systems (eg. Cloudera, etc.)
    • Distributed Computing Systems: Hadoop, HBase, Cassandra, MapReduce, Hice, etc
    • Data Mining
    • Data Modeling
    • Predictive Analytics: Machine Learning, Forecasting, etc.
    • Visualization: Tableau, D3.js, etc
  • Proven record of developing analytical products that drive business decisions and outcomes
  • Proven ability to manage multiple projects with shifting and conflicting priorities and deadlines
  • Flexible communication style to collaborate with multiple stakeholders from varying backgrounds. Able to effectively translate and present analytics data to business users at the Manager / Director / VP level
  • Methodological mindset to test new ideas and work towards valid results
  • Proven ability to manage external suppliers and ensure top value and performance for organization
  • Self-motivated and able to operate independently, as well as work effectively with others
  • Ability and drive to work in a fast paced environment under short deadlines, tolerance for business ambiguity; the ability to thrive under quickly changing situations; adaptable, with ability to meet short turnaround times