Job Description
GENERAL DUTIES & RESPONSIBILITIES
• Employ machine learning and statistical modeling to create and enhance data driven products
• Analyze and extract insights from internal and external data
• Work with Big Data and transform complex datasets into more usable formats
• Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, 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
• Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs
• Other related duties assigned as needed
EDUCATION REQUIREMENTS
Masters or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience.
GENERAL KNOWLEDGE, SKILLS & ABILITIES
• Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis
• Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL
• Experience or knowledge of cloud-based technology
• Knowledge of financial services industry
• Ability to collaborate with others and solve complex problems
• 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
• Excellent analytical, decision-making, problem-solving, team, and time management skills
• Ability to persuade and influence others on the best approach
• Positive outlook, strong work ethic, and responsive to internal and external clients and contacts
• Ability to work as part of a team or alone making a strong contribution in either scenario
• Exceptional statistical, mathematical and analytical skills
• Superior interpersonal, communication and presentation skills
• Delivery-oriented team player who takes responsibility for the team’s success and strives to continually learn and improve
• Ability to interface with all levels of employees and effectively interact with various functional areas and facilities
• Ability to establish and maintain effective working relationships with employees, management, and clients.
Worldpay JOB LEVEL DESCRIPTION
Career level professional individual contributor role. Experienced, fully qualified professional with a full understanding of their area of expertise. Works independently on problems of diverse scope. Works under general supervision with latitude for independent judgment. Determines statistical modeling approaches and then codes the resulting model. Able to identify non-routine issues and routes/escalates to appropriate team member. Works on multiple concurrent projects of medium complexity. Is an active team member, contributes to complex projects to gain experience, shares ideas and suggests process improvements appropriate for level of experience. Consults with senior peers on semi-complex