Job Opportunity Data Product Intern " The New York Times- USA" - eglobejobs

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Sunday, 6 January 2019

Job Opportunity Data Product Intern " The New York Times- USA"


Data Product Intern 
The New York Times, USA

New York 

Job ID
End Date
11 janunray 2019 
3 PM Est

Job Description:

The New York Times is committed to producing the world’s most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert analysts who help NYT learn from a tremendous abundance of data unique to this company. The Times seeks a Data Product Intern to join our growing Data & Insight Group, which is responsible for data analytics, data science and data engineering for all New York Times offerings, including the newspaper and

Specific projects will vary but overall responsibilities include:
  • Building features into custom analytics tools that provide data for the newsroom, product teams, and advertising.
  • Use exploratory analysis to deeply understand the New York Times audience and their behavior across platforms
  • Identify challenges in data accessibility and ways to turn reporting into action
  • Standardize communication processes through building dashboards
  • Work with different APIs to tie data sets together to build unique stories around data.
  • Influence internal stakeholders at all levels of the organization to take action based on insights generated to seize business opportunities
  • Document and communicate findings and insights to stakeholders across the company

  • Current enrollment in a BS/BA in computer science, applied mathematics, or other quantitative/computational discipline, with expected graduation within the next 18 months
  • Experience in manipulating and analyzing large structured or unstructured datasets (experience in SQL and Google Sheets/Excel preferred)
  • Additional coding experience - Python and JavaScript preferred
  • Ability to communicate complex analytics to relevant audiences
  • Understanding of applying multivariate statistics, including logistic regression modeling, to business problems or market research
  • Experience with website or media analytics a plus.

  • Commitment to the The Times’ mission of delivering the world’s best and most reliable journalism.
  • Excellent analytical and problem-solving skills.
  • Strong oral and written communication skills.
  • A passion for empirical research and for answering hard questions with data.
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Proven record of solving challenging problems
  • Eagerness to collaborate with both technical and non-technical colleagues across business functions.
  • Desire to join the world’s most important journalism company at a moment in history when the importance of learning from our data is transforming every aspect of the craft and practice of journalism.
Please provide GitHub or portfolio site if available.
The New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.

The New York Times Company is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.

Good Luck!

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