Job Description

Position Type: Full-time Type of Hire: Experienced (relevant combination of work and education) Education Desired: Master's Degree Travel Percentage: 0% Job Description: - This is a professional role where you will be working on moderately complex assignments, using your judgment within defined procedures. - You will participate in project planning sessions and collaborate closely with experienced Data Scientists and other team members to analyze requirements and provide design recommendations for complex analytical systems. - As part of your role, you will consult with senior peers to continually build knowledge and experience while minimizing any risk. - We are looking for someone who has a strong interest in technological innovation, with a focus on learning to apply standards, understanding the business, and advancing their professional growth. - You should have demonstrated engineering skills and strong mathematical abilities, typically evidenced by a bachelor's degree in a mathematical or related subject and two years of experience in software analytics. General Duties and Responsibilities: - Analyze and extract insights from internal and external data. - Use 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 various data science tools and programming languages such as Python, R, Scala, 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 choices when trading-off sophistication and accuracy versus implementation and performance costs. - Perform other related duties as assigned. Education Requirements: - Master's degree in Statistics, Decision Sciences, Applied Mathematics, Economics, Computer Science, or 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. - Proficiency in data science tools and programming languages such as Python, R, Scala, and SQL. - Experience or knowledge of cloud-based technology. - Knowledge of the financial services industry. - Ability to collaborate with others and solve complex problems. - Proficiency in solutions design and requirements. - Excellent verbal and written communication skills to technical and non-technical audiences. - Strong 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 well as part of a team or independently. - Exceptional statistical, mathematical, and analytical skills. - Delivery-oriented team player who takes responsibility for the team's success and strives to continually learn and improve. - Ability to interface with employees at all levels and effectively interact with various functional areas and facilities. - Ability to establish and maintain effective working relationships with employees, management, and clients. EEOC Statement: FIS 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. 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 our Online Privacy Notice. Sourcing Model: Recruitment at FIS primarily works on a direct sourcing model, meaning a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies that are not on our preferred supplier list and is not responsible for any fees related to resumes submitted to our job postings. Note: All reasonable accommodation requests under the Americans with Disabilities Act (ADA) will be reviewed and evaluated on a case-by-case basis.