You will refine analytic tools and build new production-grade solutions for Sponsor users, working within iterative Scrum teams.
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, particularly 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 experience 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.