FIS Global
Senior Data Scientist I
FIS Global, Seattle, Washington, us, 98127
Position Type :
Full time
Type Of Hire :
Experienced (relevant combo of work and education)
Education Desired :
Bachelor of Computer Science
Travel Percentage :
1 - 5%
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.
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.
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Full time
Type Of Hire :
Experienced (relevant combo of work and education)
Education Desired :
Bachelor of Computer Science
Travel Percentage :
1 - 5%
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.
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.
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