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 FIS JOB LEVEL DESCRIPTION Developing professional individual contributor role. Works on moderately complex assignments, exercising judgment within defined procedures. Participates in project planning sessions, working closely with seasoned Data Scientists and other team members to analyze requirements, and provide design recommendations for complex analytical systems. Consults with senior peers with goal of continually building knowledge/experience while minimizing any risk. This role shows a demonstrable interest in technological innovation with a focus on learning to apply standards, developing an understanding of the business, and advancing personal professional growth. Typically requires demonstrated engineering skills, strong mathematical skills normally evidenced by bachelor’s degree in a mathematical or related subject and two years of experience in software analytics.
Privacy Statement
FIS 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 FIS protects personal information online, please see the Online Privacy Notice.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS 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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