You will build production-grade data solutions and machine learning models for Sponsor users within iterative Scrum teams.
This role is on-site.
Responsibilities
Design, develop, and unit test code for production systems and demonstration capabilities.
Cleanse and process large raw datasets using ETL techniques.
Research and implement novel machine learning algorithms for text analytics, including search, entity extraction, sentiment analysis, summarization, and categorization.
Develop proof of concepts to evaluate state-of-the-art machine learning techniques.
Translate stakeholder requirements into user stories and technical documentation.
Required Skills
Minimum 6 years of experience in data science or analytics (Master’s degree reduces requirement by 2 years).
Proficiency in Python and/or Java for designing web-based analytics platforms.
Strong background in ETL processes for large datasets.
Demonstrated experience with text analytics applications in business intelligence.
Ability to create iterative screen mock-ups and rapid prototypes to drive requirements.
Experience communicating technical progress to technical and non-technical audiences.
Bachelor’s degree in Computer Science, Math, or a relevant field.
Preferred Skills
Experience working with systems engineers to specify and design final system architectures.
Ability to analyze requirements and develop detailed briefing materials for program reviews.