The Company:

GIPHY is the world’s largest place to search, discover, and create all the GIFs. We’re the leading brand in short-form entertainment and visual communication.

iMessage, Facebook, Twitter, Tinder, Slack, WhatsApp and many more all integrate against our API to serve GIFS to their millions of users across the globe. We serve over 5 billion GIFS every day to more than 300 million people.

We’re a creative and passionate group of GIF-obsessed individuals continuing to build out what we believe is the future of GIFs. We have big goals and are looking for like-minded, talented people to join us.

The Opportunity:

We’re looking for a Data Engineer who thrives at the intersection of data, product, and engineering. The ideal candidate will have a strong technical and analytical background. This position is full-time, part of the Data team and is located in New York City.

You will provide insight support to the product and engineering teams that power both internal and external products including Giphy.com, GIPHY mobile apps, and our many API integrations such as Facebook, Instagram, Snapchat, and Slack. Our public API services billions of requests and traffics many petabytes of media per month.
You'll be joining a wildly creative, fun and talented group of individuals who are passionate about building out the future of micro entertainment. We have big dreams and goals for 2018 and are looking for like-minded, skilled people to join us!

What You'll Do:

• Apply expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers and pull insights to help identify trends & opportunities to drive growth of our product
• Build pipelines and infrastructure to manage the scale and diversity of data at GIPHY
• Be a thought leader for data-informed initiatives to create internal KPI reporting, user growth analytics and mobile usage - working closely with design, product, engineering, and content editorial teams
• Conduct in-depth investigations leveraging large and complex data sets
• Inform, influence, and execute new strategies and tactics using sound analysis and impact metrics to support your positions
• Work with tools and languages such as Scala, Python, Spark, Databricks, Redshift, Spectrum, Elasticsearch, and AWS

Who You Are:

• Requirements 2+ years experience doing quantitative analysis
• BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field preferred or relevant experience
• Strong communication skills, creative problem-solving and curiosity is a must
• Ability to decompose large, complex problems down into smaller pieces and distil that complexity into simple and concise communication
• Experience with open source data technology preferred
• Sense of humor and love of GIFs