Program Manager overseeing master data initiatives at Stanley Black & Decker. Responsible for project execution and stakeholder collaboration to enhance data management processes.
About the role
- Senior Data Scientist leveraging data analytics to drive business value at Sun Life. Collaborating with teams to develop ML products and enhance data-driven decision-making.
Responsibilities
- Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques 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
- Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
- Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
- Implement AI bots/agents with advanced reasoning capabilities and tool use patterns
- Work with vector databases and embedding models to build intelligent information retrieval systems
- Break down broader data science development milestones into actionable goals, activities, and work plans
- Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
- Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
- Champion continuous improvement and foster innovation within the analytics community
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, or equivalent experience
- 5+ 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
- Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities
- Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models
- Experience with chatbot development concepts and conversational AI design
- Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
- Effective and concise oral and written storytelling and insights communication skills
- Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
- Proven ability to mentor and guide junior data scientists and data engineers
- Strong problem-solving abilities and analytical skills with keen attention to detail.
Benefits
- Wellness programs that support the three pillars of your health – mental, physical, and financial
- Opportunity to move along a variety of career paths with amazing networking potential.
- Flexibility to work from both the office and virtually based on the needs of the business, our Clients and you!
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Lead predictive analytics initiatives at the University of Alberta to improve enrolment planning. Focus on advanced data modeling through machine learning and statistical approaches.
AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
Data Team Lead coordinating data engineering and reporting capabilities for mining industry projects. Guiding a team while ensuring timely delivery aligned with project priorities in a hybrid work environment.
Senior AI Data Scientist leading complex analytical and predictive AI workstreams at Valtech. Collaborating with teams to deliver actionable insights for high - value business problems.
Lead Data Scientist responsible for designing and deploying Generative AI solutions. Collaborating closely with clients and mentoring teams in analytics consulting at Tiger Analytics.
Delivery manager leading the end - to - end execution of complex data and analytics programs at Ness. Building client relationships and driving best practices for scalable data solutions in the digital economy.
Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Team Lead, Digital Analytics managing the development and support of data analytics solutions at BCLC. Leading a team to enhance business intelligence capabilities for effective decision - making.