We are seeking an experienced and highly motivated Data Scientist to join our team in New York. This individual will support enterprise initiatives on segmentation, personalization, and campaign forecasting/optimization through in-depth, statistical & quantitative analyses of consumer data, and integration of high quality prediction systems into our brands & products.

Primary Responsibilities:

  • Lead development of models that enable learning of semantics of data (our content that includes text, images and video)
  • Devise better data driven models of user behavior
  • Work towards long-term ambitious research goals, while identifying intermediate milestones
  • Work with both management and organizational peers to improve results by applying quantitative analysis, data mining, and machine learning methods to ongoing activities.
  • Design and present recommendations to guide future business and research directions.
  • Conduct statistical analysis of consumer web, demographic, behavioral, and transactional data in support of strategic initiatives, from very large data sets (both structured and unstructured). Project work covers all phases – conceptualization, assessment, planning, data acquisition, profiling, modeling, documentation, and presentation of findings/recommendations.
  • Design tests, benchmark and track performance of analytic solutions/models over time.
  • Work with partners in Data Engineering, Marketing, Product, Programmatic and Ad Operations teams, to operationalize integration of analytic models into production environment(s).
  • Conduct exploratory analysis against consumer data from internal or external sources, to surface interesting and valuable insights.
  • Stay current on relevant academic and industry developments to identify best-in-class algorithms, techniques, libraries, etc.

Desired Skills & Qualifications:

The ideal candidate will have many, if not all, of the skills and experience here:

  • Exceptional quantitative and statistical skills, including experience with machine learning, natural language processing, deep learning and other techniques appropriate for large-scale data modeling and analysis.
  • Experience manipulating and analyzing data from different sources.
  • Four or more years of relevant experience, preferably in a consumer-based organization.
  • Exceptional communication skills, particularly in communicating and visualizing quantitative findings in a compelling and actionable manner for business stakeholders.
  • Proficiency in Python, SQL, Julia, or R.
  • Experience with Hadoop, Pig, Hive AWS EMR, Spark, Flink, or Beam
  • Two or more years of business/marketing analytics experience, preferably in a consumer-based media organization.
  • Strong set of professional skills: attention to detail; analytic, logical and creative problem solving; critical thinking; ability to work independently and within a cross-functional team.
  • MS, Ph.D.,BS, or equivalent industry experience in Computer Science, Mathematics, or other related STEM (science, technology, engineering, and math) fields
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Data Scientist