Data Scientist II

Data Scientist II | Data Strategy & Data Science | Boston or Cincinnati

Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day.

What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one.

We’re looking for a Data Scientist II to join our ever-evolving Data Strategy & Data Science team to help us unleash the potential of every business.

Are you ready to make your mark? Then you sound like a Worldpayer.

About the team

We boldly innovate to maximize Worldpay’s usage of data assets to create market-leading payment optimization products and solutions. We combine high knowledge of the data, advanced analytics, machine learning algorithms, and augmented intelligence to drive value through data-driven decisions for Worldpay and our customers.

What you will be doing

• Use quantitative and statistical methods to explore data and extract actionable insights from our payment data. Leverage machine learning, statistical modelling, and quantitative analysis to create intelligent, data-driven products.
• Analyse and extract actionable insights from internal and external data.
• Employ machine learning and statistical modelling to create and enhance data-driven products.
• Develop intelligent payment products and continuously integrate and deploy into a microservice-based product platform.
• Work with a variety of data science tools and programming languages.
• Work independently and collaborate with other stakeholders to build product prototypes and solve complex business problems.

What you bring

• Proficient in data science tools and programming languages such as Python, R, SQL, Snowflake, and Databricks.
• Strong analytics and knowledge in machine learning, artificial intelligence, statistical modelling, data visualization, and data analysis.
• Proficiency in solutions design and requirements.
• Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors.
• Delivery-oriented team player who takes responsibility for the team’s success and strives to continually learn and improve.

Education Requirements

• Masters with 1 year of data science experience or PhD in Applied Mathematics, Engineering, or Computer Science or the equivalent combination of education, training, and work experience.

Added bonus if you have:

• Knowledge of the financial services industry, especially payment processing.
• Ability to persuade and influence others on the best approach.