Senior Data Scientist I

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 Embedded Finance team, and our mission is to enable developers across all verticals to imagine, create and monetize financial products to profoundly transform the way the entire financial industry consumes services. Today, it's difficult for many businesses to build the financial products they imagine. Whether that's launching a new credit or debit card, a savings account, a lending business, or anything else — there are barriers in the way that require excessive time and effort. We make it trivially easy for businesses to compliantly offer financial products and innovate on their key differentiators rather than spend all their time building and maintaining financial infrastructure. 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 an