We're excited to offer this opportunity to join our team. Take a look at the details of this position and apply if you feel you're a good fit. We look forward to receiving your application.
Use predictive models to increase and optimize customer experience, revenue generation, direct mail targeting, fraud detection and other business outcomes.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Develop machine learning models, select features, build and optimize classifiers using various machine learning techniques.
Doing ad-hoc analysis and presenting results in a clear manner to Sr. Management.
Coordinate with other functional teams to implement models and monitor outcomes.
Develop and enhance processes and tools to monitor model performance and input data accuracy.
3-4 years of on the job experience as a data scientist or an advanced degree (Master’s or PhD in machine learning and/or other quantitative fields).
2-3 years expertise in machine learning theories and practices, including regression models, GLM, SVM and tree based models (e.g. Boosting, Random Forest).
Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing code.
Expertise in at least one statistical programming language such as Python (preferred) or R and ability to build statistical models in the programming language.
Proven ability to communicate findings clearly to both technical and non-technical audiences.
Experience with relational databases such as Oracle, PostgresSQL, SQL Server.
Experience in a data science or ML Ops role at a banking/financial institution or fin-tech.
You don't have to meet all requirements  to be able to apply.
Apply if you think you are a good fit and we will take it from there.