Posted:
7/11/2024, 5:00:00 PM
Location(s):
Washington, District of Columbia, United States ⋅ District of Columbia, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Job Description
As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company, and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we’d like to ask you: Are you FIS?
About the team
We are the FIS Automated Finance team, and we build software to unlock intelligent cash management, Accounts Payable (AP), and Accounts Receivables (AR) for some of the largest companies in the world. We are recognized as an industry leader for Order-to-Cash, utilizing ML and AI for intelligent automation, and AP optimization using Virtual Cards, but we’re not stopping there. We are building new features for our customers, accelerating time-to-value, and unlocking AP & AR services for the larger FinTech platform, to enable developers across all verticals to easily consume our services. Learn more about us at atelio.com.
About the role
We are looking for a Senior Data Scientist to join our team and play a crucial role in generating insights and supporting data-driven decision making across the organization. You will be responsible for researching, designing, developing, and implementing data science solutions to solve complex business problems.
What you will be doing
Develop and lead statistical and machine learning efforts in relation to your projects. Our projects leverage machine learning, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more.
Leverage large scale data processing such as Spark, Hive, and off-the-shelf systems.
Conduct original analyses to advise and influence product, engineering, and operations efforts. Communicate findings to stakeholders in a clear and concise way.
Partner with business stakeholders to understand their needs and translate those needs into data-driven solutions.
Develop and implement machine learning (ML) models to extract insights from data.
Analyze large datasets to identify trends, anomalies, and opportunities for improvement.
Participate in the development of data pipelines to ensure the quality and availability of data for analysis.
Stay up-to-date on the latest data science trends and technologies.
Identify opportunities to streamline data-related processes, enhance data quality, and improve efficiency in financial operations.
Propose and implement innovative solutions and best practices.
What you will need
A master’s in Statistics, Computer Science, Math, Physics or a related field.
2+ years of relevant professional work experience in a data science or similar role.
Proven experience applying machine learning and statistical modeling techniques to solve real-world problems.
Strong programming skills in Python or R.
Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.
Proven familiarity with code and programming concepts
Added bonus if you have
Typical qualifications for the role are 5+ years of relevant professional experience or a combination of work experience and advanced education.
A PhD in Statistics, Computer Science, Math, Physics or a related field.
Proven ability to self-direct your technical work and scope projects effectively.
Experience as a data scientist at a company with global operations
Experience leading and mentoring junior engineers.
Excellent communication and collaboration skills to influence both technical and non-technical stakeholders.
Familiarity with statistical analysis, forecasting techniques, and data modeling.
Familiarity with financial concepts or fintech software.
Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders.
A strong understanding of security best practices for building enterprise applications.
What we offer you
At FIS, we hire the best. In return, you receive exceptional benefits including:
Opportunities to innovate in fintech.
Tools for personal and professional growth.
Inclusive and diverse work environment.
Resources to invest in your community.
Competitive salary and benefits.
#Atelio
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.
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. 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 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.
#pridepass
Website: https://fisglobal.com/
Headquarter Location: Jacksonville, Florida, United States
Employee Count: 10001+
Year Founded: 1968
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Banking ⋅ Financial Services ⋅ Information Technology ⋅ Payments