Senior Data Scientist
1 World Trade Center, New York, NY/en-US/CondeCareers/job/1-World-Trade-Center-New-York-NY/Senior-Data-Scientist_R-01634/applyCitizenNet, a social data and marketing platform, which utilizes machine learning and artificial intelligence to put the right content, offer or advertisement in front of the right person at the right time is based in Los Angeles, CA and is led by CEO Dan Benyamin. The CitizenNet team is based in Los Angeles. Cond� Nasts acquisition in February 2017 of CitizenNet deepens Cond� Nasts data science talent and expertise and will be incorporated into Cond� Nasts proprietary data product Cond� Nast Spire, to expand the audience targeting and data capabilities of Cond� Nast beyond the companys owned and operated properties to social platforms.
Cond� Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting more than 100 million consumers across its industry-leading print, digital and video brands.
Cond� Nast is home to many of the world's most-celebrated magazine and website brands. nbsp;The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. nbsp;Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Cond� Nast. nbsp;Our mission is not only to inform readers but to ignite and nourish their passions.
We are seeking a Senior Data Scientist who will support a range of initiatives across various technological and business areas within Cond� Nast.
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.
Work with partners in engineering teams to operationalize and integrate models into production environments.
MS, Ph.D., or equivalent industry experience in Computer Science, Mathematics, or other related STEM (science, technology, engineering, and math) fields.
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. nbsp;
Experience with Hadoop, Pig, Hive AWS EMR, Spark, Flink, or Beam.
What happens next?
If you are interested in this opportunity, please apply below and we will review your application as soon as possible. Please note that due to the high level of applications we receive, it is not always possible for us to respond to each applicant in person. Should your profile fit this open position we will contact you within approximately 4 weeks. nbsp; You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Cond� Nast is an equal opportunity workplace.
Duties and responsibilities may be adjusted based on years of experience.
Salary is also commensurate with experience.
Posted YesterdayFull timeR-01634
Cond� Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences. Attracting more than 100 million consumers across its industry-leading print, digital and video brands, the companys portfolio includes some of the most iconic titles in media: Vogue, Vanity Fair, Glamour, Brides, Self, GQ, GQ Style, The New Yorker, Cond� Nast Traveler, Allure, Architectural Digest, Bon App�tit, Epicurious, Wired, W, Golf Digest, Golf World, Teen Vogue, Ars Technica, The Scene, Pitchfork and Backchannel. The companys newest division, Cond� Nast Entertainment, was launched in 2011 to develop film, television and premium digital video programming.
For more information, please visit condenast.com and follow @CondeNast and @CondeNastCareer for Twitter and @condenastcareers for Instagram
python, machine learning, sql, data mining, hadoop, programming, data science, artificial intelligence, computer science, natural language processing, hive, quantitative analytics, data modeling, spark, deep learning