Job Description


Job Overview

  • Job ID:

    J38473

  • Job Title:

    Director of Data Science

  • Location:

    New York, NY

  • Duration:

    12 Months + Extension

  • Domain Exposure:

    Healthcare,Utilities/ Energy,Real Estate,Oil & Gas

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

  • Work Authorization:

    US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Description

Our client is looking for someone to join their team in a full time capacity as the Director of Data Science. The position is in New York City and the correct candidate will have the following skill set.

  • Experience in a leadership/manager role.
  • End to end data science project/product management & preferably people management with all key soft skills
  • Scoping Media related projects leveraging following skillsStatistics/Econometrics
    • AB Testing/Experiments/Surveys
    • ML/AI
  • Providing relevant direction to our Media partners & potentially to vendors hired by the Media team
  • Well thought out deliverables in timely manner
  • Reviewing team member deliverables/code/presentations as needed
  • Ability to get into the weeds as needed to support team, but this would not be a typical expectation
  • PhD or Masters in Statistics, Mathematics, Economics or similar degree (PhD preferred but not required)
  • 8+ years of experience in end-to-end statistical analysis, data science, and machine learning lifecycles at an enterprise level
  • Experience in the TV/Digital media space a plus
  • Strong understanding of methods in statistical analysis (e.g., data distributions, regression analysis, experimental design, hypothesis testing, etc.)
  • Expertise in exploratory data analysis, data cleaning, data wrangling, feature reduction, and feature engineering
  • Extensive experience with different Data Science methods such as clustering, classification, regression, time series, & optimization
  • Advanced programming skills in modern languages including Python, R, C#, Java, Scala and Go (Python required)
  • Experience with a range of machine learning related frameworks and libraries, such as Python scikit-learn, Pandas, StatsModels, Pandas, Keras, TensorFlow

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Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.