Senior Data Scientist at Sun Life Financial driving business initiatives through generative AI and analytics. Collaborating with stakeholders and developing AI solutions to translate business goals into actionable insights.
Responsibilities
Engage with business stakeholders to translate business goals into analytical problems and AI solutions
Develop AI/ML data science products, with a focus on generative AI systems and large language models (LLMs)
Apply advanced data science techniques, including descriptive, predictive, and machine learning methods
Design and implement generative AI solutions that create human-like content and solve complex problems autonomously
Optimize AI performance and address ethical considerations in AI development
Provide guidance on feature engineering, model training, and evaluation
Make data-driven business recommendations and present findings to various stakeholders
Contribute to and help grow the data science and AI community at Sun Life
Requirements
BSc/M.S. in a statistical, mathematical, or technical field (e.g., computer science) or equivalent experience
3+ years experience in developing and implementing data science techniques
3+ years experience in developing generative AI systems, working with LLMs, and optimizing AI performance
Proficiency in SQL and statistical programming languages (e.g., Python)
Experience with AWS services, including SageMaker
Expertise in machine learning, including supervised and unsupervised models
Experience with data transformation, manipulation, and working with structured/unstructured data
Knowledge of technologies like Hadoop, HDFS, Hive, HBase, and Spark
Strong communication and storytelling skills for insights presentation
Ability to manage multiple projects and guide junior team members
Benefits
Various incentive plans
Payment under which is discretionary and subject to individual and company performance
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