Data Science Engineer
Trialpay - Palo Alto, CA

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TrialPay is changing the way people pay online. Since getting started in 2006 we've brought our successful alternative payment platform to the world's leading web properties and social games. With partners like Facebook, Skype, and Netflix, and over 50 million unique daily visitors, we’re growing fast, working hard, and looking for exceptional people to join our team.

What you'll be doing

You’ll be joining a tight-knit, extremely talented group of engineers and enjoying fast development cycles, a significant product voice (and product ownership, if that’s of interest), and an enviable, collaborative culture. For this particular role, you will not only be analyzing data but making actionable decisions based on your analysis, and you will be doing whatever it takes to pull semi-structured and structured data together from many different sources. As our team is small, you will have the opportunity to take something and really run with it. You will also be working on both broad and day-to-day engineering tasks. Here are some examples of the kinds of problems you will be solving:

Deciding which offers we should display to our users and what order should we display them in to maximize conversion
Doing the above really, really fast
Finding ways to maximize user engagement and revenue, including A/B testing
Database design, including schema, indexes, query optimization, partitioning, and NoSQL solutions
Leveraging Amazon Web Services (including but not limited to EC2, SimpleDB/DynamoDB, and CloudFront) to scale our data needs
Creating and improving fraud detection algorithms
Architecting and building platform infrastructure, which can include reporting, APIs, etc
Revenue forecasting
What we're looking for

We pride ourselves on hiring the best and the brightest. For this position, we are looking for a self-starter who is driven by results, not research and is excited by solving very open-ended problems. In addition to meeting all requirements for our Software Engineer position, here are some areas of expertise that will prove advantageous::

Experience working with very large data sets (both modeling data and collecting data)
R, MATLAB, or other statistical software
C/C++ or Java programming experience
Regression analysis
Machine learning techniques
Hadoop or similar
Ability to piece together data from multiple sources
PHP, Perl or Python
MySQL or other databases
E-commerce or online advertising industry experience
Any technically relevant personal projects
Strong background in math, statistics, and/or computer science

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