Data Scientist (AI / ML)

Essential Functions

1. As a Sr Data / ML Scientist you will help design, enhance, and build next generation fraud detection solutions in an agile development environment.
2. Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.
3. Work with software engineers to ensure feasibility of solutions. Deliver prototypes and production code based on need.
4. Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems.
5. Build needed data transformations on structured and un-structured data.
6. Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
7. Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models.
8. Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
9. Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
10. Contribute to development and adoption of shared predictive analytics infrastructure.
11. Mentor and train other ML scientists on the team on key solutions
12. Able to work on multiple projects and initiatives with different/competing timelines and demands.
13. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications:

3+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications:

MS in Computer Science or related field

3+ years of experience as Data Scientist / ML Scientist

Training and/or deep experience in mathematical concepts underlying statistics, machine-learning, algorithms, and data structures.

Intermediate to Expert programming skills in at least one of Python, C, Scala.

Experience working with large datasets using tools like PySpark.

Experience in Java/Python

Experience in building and deploying models as micro-services.

Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus.