Senior Data Scientist developing advanced machine learning models and managing data science services. Working in a hybrid environment to address client needs and optimize business functions.
About the role
- Senior Data Scientist at Sun Life focusing on advanced analytics for Canadian business units. Engaging cross-functional teams to drive data science initiatives using ML techniques and AWS services.
Responsibilities
- Reporting to the Director, Data Science, focus on supporting Canadian business units in accelerating the growth and application of advanced analytics
- Translate business goals into analytical problems
- Identify optimal algorithms, statistical techniques, traditional ML and/or GenAI architecture suitable for the business problem at hand
- Work in cross-functional teams to develop ML/data science products, including GenAI applications
- Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
- Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs
- Use AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
- Work with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions
- Engage and negotiate with stakeholders and make business recommendations
Requirements
- Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
- 3+ years’ experience in developing and implementing data science techniques
- Proficient in Python for data science and GenAI application development
- Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
- Proficiency in machine learning including supervised and unsupervised models
- Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
- Strong understanding of APIs, microservices architecture, and cloud-native development
- Strong understanding of GenAI frameworks, LLM APIs, RAG techniques, prompt engineering, and fine-tuning methodologies along with familiarity with vector databases and embedding models
Benefits
- Diversity and inclusion initiatives
- Health insurance
- 401(k) matching
- Flexible working hours
- Professional development opportunities
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