Data Scientist III
- Toronto, ON, Canada
Pay Rate: $70.61/hr - $83.35/hr · Full-time
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Job details
- Pay
- Pay Rate: $70.61/hr - $83.35/hr
- Job type
- Full-time
- Apply by
- Experience
- 5+ years’ experience in developing and implementing data science techniques
- Posting language
- English
- Posted
Original job description
- Location: Toronto, ON - Hybrid (2/3 days on-site with Thursday being the team collaboration day)
- Pay Rate: $70.61/hr - $83.35/hr
- Contract Length: 12 Months
Responsibilities
Data Science and Machine Learning
- 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 communi
- 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
- Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
- Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.
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We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
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More about this job
Responsibilities
Translate business goals into data science and machine learning solutions, including developing, evaluating, and deploying models and generative AI applications. Design AI agents, chatbots, and retrieval systems, while creating technical plans, collaborating with stakeholders, and mentoring junior team members.
Requirements
Requires a bachelor’s degree in a relevant field or equivalent experience, at least five years of data science experience, and proficiency in Python, SQL, PySpark, machine learning, and generative AI development. Candidates should also have experience with RAG, LLM APIs, AI agents, data transformation, cloud-native architecture, stakeholder communication, and mentoring; AWS experience is an asset.
Skills
- Python
- SQL
- PySpark
- Machine Learning
- Generative AI
- Large Language Models
- Prompt Engineering
- Retrieval-Augmented Generation
- AI Agent Development
- LangChain
- LangGraph
- CrewAI
- Vector Databases
- Embedding Models
- API and Microservices Architecture
- AWS
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Science & Research
- Finance & Accounting
Keywords
- Data Science
- Machine Learning
- Generative AI
- Python
- SQL
- PySpark
- Supervised Learning
- Unsupervised Learning
- Feature Engineering
- Model Training
- Model Evaluation
- Large Language Models
- Prompt Engineering
- Fine-Tuning
- Retrieval-Augmented Generation
- AI Agents
- Chatbots
- LangChain
- LangGraph
- CrewAI
- Vector Databases
- Embedding Models
- APIs
- Microservices
- Cloud-Native Development
- AWS SageMaker
- AWS Lambda
- AWS Bedrock
- AWS Glue
- Data Warehousing