Data Scientist

What We Value in You:

• You’ve got positive energy and you’re passionate about working with data. You’re optimistic about the future of using data to make informed business decisions.
• You’re never tired of learning and are always looking for ways to grow personally and professionally.
• You thrive in collaborative work environments. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other.
• You can pivot on the fly. Analytics is constantly changing, and we need to keep adapting and evolving to that change too. What you worked on last month may not be what you work on today, and that excites you.
• You have a “can do” attitude. Our teams create high-quality work on quick timelines.
• Do you enjoy owning a problem and see it as an opportunity to innovate and challenge the status quo? We’re all about harnessing innovation and are constantly looking for ways to improve.
• You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.

What You’ll Be Doing:

• Creatively apply science methodology and techniques solving real-world problems to generate business impact
• Conduct Data Science methodology research and derive novel analytical solutions to expand company solution capabilities and options.
• Work closely with cross function business teams on client engagement and implementation.
• Discover and address users’ pain points to enhance AP analytics platform.
• Communicate effectively with Product Management and Engineering teams to facilitate integrating science innovation  into products. 

What We Look For in You:

• Bachelor or master degree in a quantitative field (e.g., Computer science, statistics, engineering, physics, mathematics, etc.)
• Solid technical skills in probability & statistics, machine learning and optimization algorithms.
• Proficient in Python and SQL. Linux and R skill set are a plus.
• Prior experience with quantitative Marketing Analysis is preferred.
• Strong verbal and written communication skills, great work ethic, sense of ownership and intellectual curiosity, desire and ability to collaborate in a team environment.