Data Scientist - Everyday Health

Engineering Remote - United States


Description

Position at Everyday Health - Pregnancy & Parenting

Everyday Health Group’s Pregnancy & Parenting division operates What to Expect and BabyCenter, the world’s most-recognized pregnancy and parenting brands. We reach millions of families worldwide every month through our global websites, mobile apps, online communities, email, and social platforms, guiding parents through every step of the parenting journey – from preconception and pregnancy to the baby years and beyond.

As a Data Scientist at Everyday Health Pregnancy & Parenting, you will collaborate closely with Data Analytics, Data Engineering, Product and business stakeholders to identify and develop data driven solutions to support business priorities. Duties will include researching, deploying and maintaining statistical models, and transforming data into actionable insights.


Responsibilities will include:

  • Identifying, processing and cleansing data from multiple business sources
  • Applying various data science techniques, such as statistical modeling and machine learning, to maintain existing and develop new data solutions
  • Writing Airflow DAGs to process data and deploy models into production
  • Maintaining Shiny.io Dashboard to monitor data science models in production
  • Performing deep analysis and presenting actionable insights to stakeholders
  • Assisting Data Analytics with ahoc explorations

Minimum requirements:

  • 2+ years experience building data products in a production environment
  • Knowledge and experience in at least one of the following statistical and data mining techniques: classification, regression, collaborative content recommenders, and natural language processing pipelines
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Experience writing production code in Python
  • Advanced SQL fluency
  • Demonstrated ability to identify meaningful relationships in data
  • Problem-solver with demonstrated ability to find novel solutions to complex problems
  • A growth mindset and collaborative spirit

Preferred experience with any of the following:

  • Airflow or experience writing ETL jobs
  • AWS S3 and Redshift; Google Big Query
  • R or other programming languages
  • BI Dashboarding Tools: Looker, Shiny Apps
  • Applications of deep neural networks
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