Our financial client located in White Marsh, MD is seeking a Data Scientist for a Direct Hire position.
In This Role, You Will’
Work in the data science team within the Risk Management department utilizing data science to improve business results and reduce risk. Collaborate with data scientists and other teams by performing controlled experiments including AB testing, model building and monitoring. Independently contribute to a wide range of data science projects, taking ownership while expanding data exploration skills and increasing data knowledge. Organize data reports and communicate findings to technical and non-technical audiences.
Uses modeling/statistical techniques, data processing skills, and tools such as SQL, python, AWS, and SAS, develop and maintain credit and collection risk, pricing, fraud models and analytical strategies that will optimize business (i.e. lending, contact, etc) decisions across channels.
Maintains up-to-date model inventory and chronology of model prediction via visualization tools such as PBI.
Designs, executes and analyzes controlled experiments to continuously evaluate new opportunities to improve volume/credit risk trade-offs.
Supports the business by conducting ad-hoc portfolio analyses and developing recommendations aimed at improving portfolio performance and profitability.
Collaborates with partners across the organization in cross-functional projects to execute on key business priorities.
Organizes data reports and communicates findings to technical and non-technical audiences.
Evaluates, Recommends, and Champions new modeling data, tools, techniques, and approaches.
Studies new data sources for additional lift to business decisions; provides recommendations as to cost/benefit analyses of new data sources.
Conducts evaluation of tools in AWS ML end to end pipeline environment
Conducts evaluation of new statistical approaches and enhanced segmentation to optimize approval and advance assignment strategies.
Additional duties and responsibilities may apply.
‘ Undergraduate or a postgraduate degree in a relevant discipline such as Mathematics, Statistics, Computer Science, Economics, Information Management, Physics, etc.
‘ Minimum of one to two (1-2) years of professional experience
‘ Minimum of three to five (3-5) years of experience in SQL, Python, excel or SAS required
‘ Advanced abilities to handle large datasets; AWS experience or a good understanding of AWS ML end to end pipeline is a plus.
‘ Great troubleshooting and analytical skills
‘ Results-oriented individual with the ability to translate plans into actions
‘ Self-starter with exceptional work ethic, motivation and desire to learn
‘ Good team player with ability to collaborate in a team environment
‘ Superior attention to detail and organizational skills
‘ Experience in financial services is preferred but not required