Early Warning is looking for a senior technical role within Data Sciences to own analytic projects from conceptualization to implementation, focusing on developing and enhancing models for risk assessment, fraud detection, and prevention in a high-volume data environment.
Requirements
- Advanced experience in data mining, data manipulation and data step programming required using PySpark, Scala and Hive
- Advanced experience in designing and utilizing a wide variety of machine learning, predictive modeling, and optimization techniques.
- Extensive knowledge on commonly used, industry related analytical data sources
- Proven experience with understanding business requirement and translating into an analytic design
- Proven ability to evaluate different analytical approaches and select the optimal design and techniques.
- Deep knowledge of advanced ML algorithms
- Experience using ML-related libraries, such as scikit-learn, pandas, etc.
Responsibilities
- Participate in or lead the design, development, and maintenance of analytically derived models for assessing risk and detecting and preventing fraud.
- Design data ETL and storage schemes for complex datasets from various sources.
- Play leading role in supporting large scale business initiatives.
- Preparation of analytic detail design documentation.
- Oversees documentation of analytic solutions developed
- Responsible for overall analytic data processes, designing and directing program development.
- Research and recommend new analytical techniques / software and train the team members accordingly.
Other
- This position is a senior technical role within Data Sciences.
- Responsibilities also include providing leadership and mentoring to junior analysts in the technical aspects of their assignments.
- This position will have frequent interactions with other departments as necessary.
- Ability to support multiple projects concurrently. Develop and manage timelines for all project activities
- Prepare and present technical information in appropriate form to management as well as to technical colleagues
