Job Description

Manager - Data Science
Work where innovation drives business! Eclaro is looking for a Manager - Data Science for our client in New York, NY.
Eclaro’s client is a globally recognized publisher and distributor of educational materials that is transforming itself with cutting edge technologies. If you’re up to the challenge, then take a chance at this rewarding opportunity!
  • Responsible for all advanced analytics projects:
    • Statistical modeling
    • Machine learning
    • Simulation
    • Clustering analysis
    • Design
    • Analysis of experiments, and optimization
  • Also taking a leading role in process automation and the strategic redesign of business strategy and processes
  • Practice uses SAS running on top of AWS RedShift
  • Reports to the Director of Data Science at the client
Required Experience:
  • MA / MS in Mathematics, Statistics, Computer Science, Economics, or other quantitative field
  • At least 10 years professional experience in data science, machine learning and statistics
  • Proven on-the-job ability to manage large data science projects end-to-end: problem scoping, data engineering, analysis, presentation
  • SAS programmer, with strong experience programming for data analysis and data science
  • Experience presenting to clients
  • Strong knowledge of classical statistics
  • Strong knowledge of fundamental machine learning techniques
  • Strong familiarity with data science and data processing within a direct marketing environment
  • Knowledge of operations research
  • Knowledge of SAS Enterprise Miner
Required Skills:
  • Proven ability to juggle multiple data processing and analytical projects, while also handling emergency interruptions, managing time effectively
  • Ability to collaborate and function effectively as a member of a team
  • Strong written/verbal communications skills
Interested in applying? Contact Adrian Miranda at now.
Equal Opportunity Employer: Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Application Instructions

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