How you'll make an impact:

• You will collaborate with a cross-functional team of product managers, analysts, and engineers to develop and iterate on product features across a variety of streams including matching algorithms, pricing optimization, fraud detection and user segmentation among others
• You will translate product/business objectives into a solid analytical plan (and vice versa!) and identify and execute on opportunities to apply machine learning to improve user experience
• You will identify and apply correct statistical techniques to draw rigorous conclusions from data 

We could be a match if:

• You have at least 2 years of professional experience as data scientist, a strong knowledge of statistics and machine learning, and experience querying massive and complex datasets
• You are a strong communicator and influencer and have experience serving as an internal consultant to business stakeholders
• You have experience with A/B testing and a strong understanding of Design of Experiments 
• You have professional experience with SQL/Hive, Python coding, and building and deploying machine learned models with one or more of the following: Tensorflow, Keras, Pytorch, SciKit 

What the Team is like:

• The Match Product Analytics team is based in Dallas, and this position reports to Director - Data Science and Analytics
• This team enjoys building a product that helps millions of people find love, and they get a great sense of satisfaction in seeing their hard work make a difference
• Success on this team will require a sense of intellectual curiosity and constant desire to learn, along with being comfortable with ambiguity


#LI-LCL