Data Scientist II

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 REQUIREMENTSMasters 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 problem
• 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 modelling 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 processes to learn through experience. Typically requires a minimum three years of experience of programming mathematical models.

Worldpay is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $115,590.00 - $194,180.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.  

Privacy Statement

Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice.

EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here.

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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