Data Scientist - Everyday Health

Engineering New York, New York


Position at Everyday Health - Professional

Everyday Health Group (EHG) is a recognized leader in patient and provider education and services attracting an engaged audience of over 60 million health consumers and over 800,000 U.S. practicing physicians and clinicians. Our mission is to drive better clinical and health outcomes through decision-making informed by highly relevant information, data, and analytics. We empower healthcare professionals and consumers with trusted content and services delivered through Everyday Health Group’s world-class brands.

Everyday Health Group is a division of J2 Global Inc. (NASDAQ: JCOM), and is headquartered in New York City.  

We are looking for a team member to join our growing data science team with focus on researching, creating, and implementing algorithms for recommendation systems, natural language processing and social networks applications. 


  • Participate in innovative research in artificial intelligence and machine learning applications.
  • Develop solutions for real world problems, such as audience engagement, publication content analysis, audience profiling, identity resolution.
  • Implement and adapt deep learning architectures.
  • Design, develop, test, deploy, maintain and improve software.
  • Contribute to training and knowledge sharing within and across teams.
  • Introduce new knowledge, cutting edge technology from academia or trade into the company.
  • Discover new knowledge from existing data assets.


Education and experience

  • Bachelor’s degree in Computer Science, Data Science, or related field.
  • 2 years of software development experience, or a relevant advanced degree.

Technical skills

  • Fluent with Python (Pandas, NumPy, scikit-learn, and NLTK).
  • Experience in applied machine learning or artificial intelligence.
  • Experience with at least one major database system (SQL Server, MySQL or Oracle).
  • Experience with Natural Language Processing and/or recommendation systems.


  • Ability to present and describe projects results.
  • Comfort in leading internal discussions of technical proposals and designs.
  • Translating complex ideas into simple lay terms, retaining the scientific rigor and logic.


  • Experience with the following: TensorFlow/PyTorch, AWS, Databricks, Twitter APIs, Spark, Git.
  • Well versed in object-oriented programming, design patterns, and coding style.