Data Scientist

The GTS Cross Product Solutions team drives and powers innovation within the one of the largest payment businesses in the world. We act as data science consultants to our business partners and clients across the organization, building end-to-end production level solutions at scale. At the core, the team is a collection of individuals that welcomes challenging problems, because that is where the learning begins. For many of our projects, we begin by hosting “think tank” like sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data and AI. Once a problem is sculpted and the solution framework is developed, we get together as a team and build. Our models either in production or in active development leverage cutting edge methods and their applications span across a wide spectrum of business challenges. We are not focused on any niche sets of problems, our mandate is across the entire GTS business (payments, liquidity, pricing, client servicing, etc.) which includes search functionality, optimization, business efficiency and more, requiring a wide range of data science techniques to solve.

Required Skills: "Must" have these skills to be minimally qualified.

Bachelor’s degree in a quantitative field such as: computer science, math, and physics is preferred

Extensive experience with common data science toolkits, such as Python, Pandas, NumPy, and Sklearn

Strong understanding of regression and classification techniques

Great applied statistics skills, such as distributions, statistical testing, etc.

Effective communication skills

Inclusive and Inspiring: Seeking motivating team players who value collaboration, celebrating shared success and who actively seek and appreciate diverse thoughts and backgrounds

Authentic and Passionate: Seeking highly engaged teammates whose intensity and intentions align and are enthusiastic about the work we are doing for our clients and in our communities

Innovative and Curious: Seeking teammates with out-of-the box ideas and solutions, who embrace change with a future-forward mindset, and are looking to challenge the status quo

Confident and Agile: Seeking strong communicators who value giving and receiving feedback, easily build relationships, and who are quick thinking, flexible, and always learning and sharing knowledge

Desired Skills:

Graduate level degree in a quantitative field such as, computer science, math, and physics

Experience with Excel and PowerPoint

Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib

Proficiency in using query languages such as SQL and Hive and NoSQL databases, such as MongoDB and Cassandra