Data Science Engineer

Data/Analytics New York, New York

About Your Role:

Dotdash has been a top 20 site on the internet, since the internet was born. We have data stretching back before the existence of Google. We are looking to add a skilled engineering-focused member to our data science team. As a Data Science Engineer it will be your responsibility to build amazing tools and products on top of the unique data sets at our disposal.

About Your Contributions:

  • Innovate rapidly to build proofs of concept that can take an idea and prove that it will work across a huge content company
  • Engineer the proof of concept to run at scale in the Cloud
  • Build best in class content tools – for recommendations, knowledge engines, engagement and more
  • Predictive analytics – use the wealth of historical data to predict the future of the internet
  • Bring in, structure, store and query massive datasets in the right way to power the products we need.
  • Attend and present at conferences to keep the wider team up to date with innovations in data science and relevant technology

About You:

  • Solid programming skills in a modern programming language – preferably Python
  • Bachelors/Masters Degree in relevant field and 2+ years of industry experience
  • Experience using front end technologies (e.g., Node.js, HTML/CSS, JavaScript)
  • Experience with engineering in the Cloud – preferably on AWS
  • Familiarity with SQL, noSQL, ElasticSearch is a plus
  • Strong analytical and problem solving skills
  • Experience in – or an interest to learn – data science, NLP and machine learning

About Us:

Dotdash's vibrant brands help over 100 million users each month find answers, solve problems, and get inspired. Dotdash is among the fastest-growing publishers online, and its brands are the fastest-growing in their respective categories. Dotdash brands include Verywell, The Spruce, The Balance, Lifewire, ThoughtCo and TripSavvy.