Forbes believes in the power of entrepreneurial capitalism and uses it on various platforms to ignite the conversations that drive systemic change in business, culture and society. We celebrate success and are committed to using our megaphone to drive diversity, equity and inclusion. Forbes has recently announced plans to go public and to be listed on the NYSE via a special purpose acquisition company (or SPAC). This will enable Forbes to further capitalize on its successful digital transformation, using technology and data-driven insights to create more deeply engaged audiences, through editorial, product development and strategic investments.

As a Sr. Data Scientist at Forbes on the Business Intelligence team, you’ll have the opportunity to work on a variety of unique and interesting challenges. You'll be part of a highly effective team, who are leveraging data science to advance our business and drive revenue growth.

Responsibilities:

  • Own the development of new and existing machine learning models with a focus on increasing revenue and helping the site understand it’s users and competitors
  • Research and develop solutions to varied and complex business problems that touch all areas of data science (regression, classification, forecasting, nlp, clustering, etc.)
  • Some current areas of focus include text classification, propensity, audience segmentation and churn
  • Perform data mining on large structured and unstructured datasets to uncover insights
  • Continuously improve your skills and knowledge through classes and independent research

What You Bring:

  • 2-3 years experience as a data scientist (preferably in the publishing/media industry)
  • MS in computer science, applied mathematics, statistics or other quantitative/computational discipline
  • Experience applying data science in a business environment to create impact
  • 2-3 years experience with Python & SQL
  • 2-3 years relevant work experience with popular machine learning open source libraries (pandas, numpy, sklearn, XGBoost, Tensorflow/Keras, etc.), APIs, cloud computing (Google Cloud Platform preferred), databases (BigQuery preferred), Web Analytics (Google Analytics 360 preferred)
  • Solid understanding of traditional machine learning techniques, feature engineering and data cleansing/analysis
  • Real-world experience with natural language processing, regression, classification, clustering and time series forecasting. Familiarity with deep learning approaches a plus
  • Demonstrated problem solving skills and ability to present complex problems clearly
  • Experience presenting findings to internal stakeholders at different levels
  • Knowledge of data visualization tools (i.e.matplotlib, plotly)
  • Project Management experience a big plus

Forbes aims to offer employees the flexibility they need in order to be successful. We offer a hybrid work schedule for our employees. Some roles may be remote (within the U.S.) if it aligns to the needs of the position. Any employee entering the Forbes office for business or social reasons will need to present proof of full vaccination, unless eligible for a medical or religious accommodation or other accommodation required under applicable law.

Forbes is an equal opportunity employer.

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Forbes is committed to diversity, equity and inclusion and uses our various platforms to help the world build back with equity at its core. As the leading business media brand, we have a responsibility to ensure our content and experiences reflect the diverse audiences we serve. We have the unique ability to do good, leveraging our considerable editorial voice to highlight inequities and challenge systems.

We are holding ourselves accountable and ensuring that all decisions are made with equity top of mind. 

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