Data Scientist

Worldpay•Cincinnati, OH

9h•Hybrid

About The Position

Please note: Sponsorship is NOT eligible for this role including OPT. Applicants must be a US Citizen or Green Card holder. Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. We’re looking for a Data Scientist to join our ever evolving team and help us unleash the potential of every business. Location: Cincinnati, OH, Denver, CO, or Atlanta, GA office locations, hybrid schedule

Requirements

Degree in Data Science, Statistics, Decision Sciences, Applied Mathematics, Economics, Computer Science, or an equivalent combination of education, training, and work experience.
Proficient in data science tools and programming languages Python, R, and SQL
Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis.
Experience or knowledge of cloud-based technology.
Ability to collaborate with others and solve complex problems.
Outstanding verbal and written communication skills to technical and non-technical audiences at all levels.
Excellent analytical, decision-making, problem-solving, team, and time management skills.
Positive outlook, strong work ethic, and responsiveness to internal and external clients and contacts.

Responsibilities

Analyze and extract insights from internal and external data.
Employ machine learning and statistical modeling to create and enhance data-driven products.
Work with Big Data and transform complex datasets into more usable formats.
Utilize a variety of data science tools and programming languages such as Python, R, and SQL.
Work independently and collaborate with other groups to solve complex problems.
Create and present analyses to internal and external partners and clients.
Document models and write code to track and monitor models and product performance.
Make pragmatic and business-aware choices when trading off sophistication and accuracy versus implementation and performance costs.
Participate in project planning sessions, analyze requirements, and provide design recommendations for complex analytical systems.
Other related duties as assigned.