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 engineersStrong problem‑solving abilities and analytical skills with keen attention to detail.

Core Competencies
Proficient in developing and implementing data science techniques, with a robust focus on GenAI application development, machine learning, and advanced data manipulation. Demonstrates exceptional communication skills to effectively present complex technical concepts to diverse stakeholders.

Highest-signal resume keywords

Python Proficiency

Machine Learning Expertise

GenAI Frameworks Experience

SQL and PySpark Skills

Chatbot Development Knowledge

ATS Optimization Keywords
Hard Skills

Data Science Techniques

Feature Engineering

Model Training

Model Evaluation

Data Transformation

Data Manipulation

APIs Understanding

Microservices Architecture

RAG Techniques

Prompt Engineering

Soft Skills

Exceptional Communication Skills

Effective Storytelling

Problem‑Solving Abilities

Analytical Skills

Mentoring and Guiding

Industry Keywords

Cross-Functional Teams

Continuous Improvement

Data Science Development

Conversational AI Design

Stakeholder Engagement

Tools & Technologies

GenAI Applications

LLM APIs

Vector Databases

Embedding Models

AI Agents

Chatbots

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📌 Senior Data Scientist (Ontario)
🏢 Jobtailor
📍 Ontario