Data Scientist

Vantiv is making payments smarter, faster, and easier for all our partners, as well as the consumers they serve. From the largest retailers in the U.S., to the coffee shop down the street, we are leading the transformation in payments through chip-enabled cards, mobile wallets, eCommerce, and technology solutions to businesses of all sizes.

Vantiv is sitting on a large and rapidly growing goldmine of data at the center of a tremendous market opportunity. We're looking for exceptional data scientists to play a pivotal role in the research and development of data products, drive better and faster decision making across the company and identify actionable insights for our customers. Vantiv is looking for individuals who enjoy analyzing large data sets and are looking for a challenging and exciting opportunity to bring innovative solutions to market.

**Essential Duties and Responsibilities:** * Perform quantitative research using large data sets. * Do the fundamental research behind new and refine existing data products. * Guide the software implementation of data products and drive adoption. * Identify opportunities for Vantiv clients to grow revenue and reduce costs. * Provide scientific support across all departments and for end customers. * Innovate new ways data analysis can be used to the company's advantage. * Collaborate with other business units and functional areas to understand business requirements. * Other duties as requested. **Supervisory Responsibilities:** None

**Education:** Bachelor's degree in a quantitative field (statistics, applied mathematics, computer science, physics, quantitative finance, etc.). A graduate degree with significant research experience is preferred. **Experience:** 3 or more years of quantitative research experience; financial services/payments experience preferred. **Computer/Technical:** Proficient in SQL, R and/or Python; preferred experience in Hadoop **Other Skills:** * Extensive experience working with large, real world data. * Experience with predictive analytics, data mining/pattern recognition and machine learning preferred. * Strong programming and algorithm development skills as applied to working with large data sets. * The mentality to get initial results very quickly and iterate. * Connoisseurship of good science: attention to experimental design, causality, bias, significance, etc. * Insatiable curiosity, passion and skepticism. * Big picture thinking and interest in solving fuzzy business problems. * Extreme attention to detail and motivation to minimize error. * Excellent communication skills and a team player attitude. * Ability to maintain professional composure in a dynamic work environment that often requires management/completion of multiple tasks. * The ability to have fun while doing all of the above.