Responsibilities
- Support the creation of an integrated analytics platform that synthesizes data from multiple sources.
- Construct, validate, and release machine learning and classification models into production environments.
- Oversee model training and periodic retraining to maintain performance accuracy.
- Formulate and execute experiments to evaluate AI and machine learning models against defined business goals.
- Enhance data labeling processes by developing automated methods and high-quality training datasets.
- Extract causal relationships automatically from heterogeneous sources including databases, news, social platforms, and multimedia.
- Deliver tailored machine learning applications involving data retrieval and knowledge discovery.
- Apply time series machine learning techniques to detect patterns and correlations across internal and external datasets.
- Collaborate in an Agile setting with cross-functional teams including scientists, engineers, and data specialists to solve behavioral prediction challenges.
- Translate complex analytical findings into clear insights for both technical and non-technical stakeholders.
- Advance proprietary computational workflows, algorithms, and modeling services used in product development.
- Maintain thorough documentation and reporting on data mining, analysis, and modeling research outcomes.
