Data Scientist

  • Full Time
  • New York
  • Posted 3 months ago

Conde Nast

Media Publishing Company

Condé Nast is home to many of the world’s most-celebrated magazine and website brands. The company’s reputation for excellence is the result of our commitment to publish the best consumer, trade and lifestyle content. Our brands include Vogue, Glamour, Vanity Fair, New Yorker, Wired, Epicurious, and many more. Passion is the core of our philosophy at Condé Nast. Our mission is not only to inform readers but to ignite and nourish their passions.

We are seeking an experienced and highly motivated analytic professional to join our Data Science and Advanced Analytics team in our New York office. This individual will support enterprise initiatives on segmentation, personalization, and campaign forecasting/optimization through the in-depth, statistical & quantitative analyses of consumer data.

Primary Responsibilities:
Conduct statistical analysis of consumer web, demographic, behavioral, and transactional data in support of strategic initiatives, from very large datasets (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 management and organizational peers to improve business results, by applying analytic findings to ongoing business activities, and develop recommendations to guide future activities.
Work with partners in Data Engineering & Product 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.
Partner with team members to evolve existing capabilities.
Perform ad hoc analytic tasks and reporting as needed.

Desired Skills and Qualifications:

The ideal candidate will have many, if not all, of the skills and experience here:
Exceptional quantitative analytics/applied statistics skills, including regression, clustering, machine learning, and other techniques appropriate for large scale data analysis.
Exceptional skills with Python and R. Experience with SAS helpful
Exceptional programming skills, in a modern-stack, Linux environment. This includes knowledge of approaches to automate workflows and data pipelines.
Experience with big data technologies, including Hadoop, AWS/EMR, Hive, Pig.
Five or more years of business/marketing analytics experience, preferably in a consumer-based media organization.
Exceptional communication skills, particularly in communicating and visualizing quantitative findings in a compelling and actionable manner for management.
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.
Bachelor’s degree with an emphasis in a quantitative discipline such as statistics, engineering, economics or mathematics. Master’s or MBA preferred.

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