Roles and Responsibilities:
- Engage with business and operations teams to identify and flesh-out ML use-cases
- Conduct business/technology assessments depending on project scope
- Responsible for identifying needs, ingestion, quality and value evaluation, distillation & analysis of both structured and unstructured data from multiple sources
- Working closely with stakeholders to capture domain tribal knowledge and intelligence to be incorporated in solutions
- Identifying applicability of Google Cloud Platform to use cases with ability to project both the business n tech benefits
- Selecting and employing advanced statistical procedures to obtain actionable insights
- Researching solutions to overcome analytics challenges
- Developing and optimizing advanced computational, machine learning and deep learning models that integrate business rules and requirements using Vertex AI
- Cross-validating models to ensure their generalizability
- Customize models and build on top of existing framework to address client specific requirements
- Productionizing ML models using Google Cloud technologies
- Expose the APIs as required to interact with other modules
- Providing hands-on support to end-users to use and interpret results driving adoption
- Creating assets to fast-track solution development
- Staying informed about latest developments in Data Science
Requirements:
- Advanced degree in data science, statistics or computer science
- 2-5 years of hands-on experience in independently developing and deploying machine learning models
- Knowledge of computer science fundamentals and distributed computing to build scalable analytical solutions
- Advanced coursework in machine learning and programming
- Proficient in different aspects of model architecture, data pipeline interaction and metrics interpretation
- Experience in GCP - Vertex AI, Big Query, GCS, Composer
- Strong fundamentals in data structures, statistics, algorithm and problem solving
- Experience in building models in Python
- Experience with querying languages
- Ability to relay insights in simple terms be used to inform business decisions
- Prior experience in healthcare analytics preferred
- Experience in statistical and mathematical software preferred
- Experience implementing data services, including storage, integration, and APIs preferred
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