Lead Data Scientist

High Tech Genesis Inc.; Toronto; On-site; CAD 140,000 - 210,000; Full time

Job summary

High Tech Genesis Inc. seeks an experienced Lead Data Scientist to design, develop, and deploy advanced AI/ML solutions that solve complex business challenges. You will lead projects across the full data science lifecycle and mentor team members.

Ideal candidates have 7–10+ years building ML/AI systems, deep knowledge of ML/DL, Generative AI, LLMs, vector databases, and agentic AI. Proficiency in Python, PySpark, SQL, AWS or Azure is required, with Databricks/Hadoop experience and a focus on

Qualifications

• 7–10+ years building and deploying ML/AI solutions (5+ years with PhD considered).
• Strong expertise in ML, DL, Generative AI, LLMs, RAG, vector databases, and agentic AI frameworks.
• Advanced programming with Python, PySpark, and SQL; experience with ML/DL frameworks and cloud platforms.
• Hands-on Databricks and Hadoop experience; strong data governance and responsible AI practices.

Responsibilities

• Design, develop, and deploy AI/ML solutions spanning full lifecycle.
• Lead projects and mentor team members across cross-functional teams.
• Translate business problems into scalable data science approaches.
• Present findings to both technical and business stakeholders, guiding decisions.
• Build prototypes and production-ready models; monitor and optimize performance.

Skills

ML & DL expertise

Leadership & mentoring

Analytical problem solving

Communication skills

Education

Master's in CS/Data Science/Math

PhD is a plus

Tools

Python

PySpark

SQL

Databricks

Hadoop

AWS/Azure

Job description

Overview

We are seeking an experienced Lead Data Scientist to design, develop, and deploy advanced AI and machine learning solutions that solve complex business challenges. This role requires hands‑on expertise across the full data science lifecycle, from data exploration and model development to deployment and monitoring, while leading projects and collaborating with cross‑functional teams.

Key Responsibilities

• Design, build, and deploy AI, Machine Learning, Deep Learning, and Generative AI solutions.
• Translate business challenges into scalable data science solutions.
• Perform data extraction, preparation, analysis, feature engineering, model training, and evaluation.
• Develop proof‑of‑concepts, prototypes, and production‑ready models.
• Deploy, monitor, maintain, and optimize machine learning solutions.
• Present technical findings and recommendations to technical and business stakeholders.
• Lead end‑to‑end data science initiatives and mentor team members.
• Collaborate with cross‑functional engineering and product teams.
• Contribute to innovation through research, experimentation, and knowledge sharing.

• 7–10+ years of experience building and deploying machine learning and AI solutions (5+ years may be considered with a relevant Ph.D.).
• Strong expertise in Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Vector Databases, and Agentic AI frameworks.
• Advanced programming experience with Python, PySpark, and SQL.
• Experience with ML/DL frameworks and cloud platforms such as AWS or Azure.
• Hands‑on experience with Databricks and Hadoop.
• Strong understanding of data governance, privacy, and responsible AI practices.
• Excellent analytical, problem‑solving, and communication skills.
• Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field (Ph.D. is an asset).