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 adhoc 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

Our Culture and Values

We love collaboration, always desire to understand the business problem we’re solving, push decisions down as low as possible, and want to further our culture of innovation and experimentation.  We created our values together, to embody both our audience goals and our workplace aspirations: to promote diversity and create opportunities; to be authentic; to enable wellness; to ignite passion and reimagine possibilities; to be results driven with a bias toward action; and to inspire connectedness.

About Everyday Health

At Everyday Health Group, a division of J2 Global®, we work in a culture of collaboration and welcome those who desire to join our growing global community.  We believe in careers versus jobs and people versus employees.  We seek enthusiastic individuals with an entrepreneurial spirit looking for an environment that rewards your best work. 

Everyday Health offers competitive salaries in addition to robust health and wellness focused benefits including medical, dental, vision, life and disability benefits; Flexible Spending accounts, 401(k) with company match, an Employee Stock Purchase Plan, Pregnancy and Parental leave, Family Planning Support via Maven,  Flexible Time Off, Volunteer Time Off, Fitness Reimbursement as well as employee-focused engagement and education programs, including Employee Resource Groups and company-sponsored events. If you’re seeking a dynamic work environment where you can see the direct impact of your performance, then Everyday Health is the place for you.

Everyday Health Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees.

This is a remote/office-based position which may be performed anywhere in the United States except within Colorado.

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