Sii is seeking a Senior Data Scientist to join our team building an AI-powered operating system for healthcare marketing. You will work on high-scale programmatic advertising and data intelligence solutions, designing and implementing advanced statistical methods to extract signals from complex, real-world datasets.
Key responsibilities
- Measuring existing model performance and identifying opportunities for improvement.
- Designing new methodologies and training next-generation models to enhance predictive power and scalability.
- Extracting unique entities and sparse attributes from diverse structured and unstructured data sources.
- Developing probabilistic entity linking and matching processes across large-scale healthcare datasets.
- Building and maintaining analytics data stores, evaluation frameworks, and monitoring pipelines.
Requirements
- Minimum 5 years of professional experience in training and monitoring machine learning models for production environments.
- Strong expertise in Python data science libraries such as PyTorch, scikit-learn, LightGBM, and spaCy.
- Proven experience with ML-facing ETL processes and data quality monitoring for large datasets.
- Advanced proficiency in SQL for distributed data warehouses like Snowflake, BigQuery, or Databricks.
- Practical knowledge of probabilistic methods for entity matching, imputation, and scoring.
What we offer
- Opportunity to work on high-impact AI models that operate at a billion-scale.
- A fully remote work environment with a focus on professional growth and technical ownership.
- Engagement in cutting-edge projects involving graph technologies and advanced predictive analytics.