Early Warning is looking for a senior technical role within Data Sciences to own analytic projects from conceptualization to implementation, focusing on developing, implementing, and enhancing analytically derived models and products in a high-volume data environment to assess risk and detect/prevent fraud.
Requirements
- A minimum of 7 years experience in efficient programming enabling timely manipulation and analysis of large data sets.
- 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.
- 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.
- 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.
- Ability to support multiple projects concurrently. Develop and manage timelines for all project activities
Other
- Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
- Provide leadership and mentoring to junior analysts in the technical aspects of their assignments.
- This position will have frequent interactions with other departments as necessary.
- Play leading role in supporting large scale business initiatives.
- Manage a team of data scientists, if needed
