Senior Data Scientist

Job Title: Senior Data Scientist

Location: North York, ON (Hybrid)

Estimated Duration: Fulltime

About Tundra Managed Solutions  
Tundra Managed Solutions (TMS) is the solutions arm of Tundra Technical Solutions, delivering high-impact services across four core pillars: Digital, Security, Data & Analytics, and AI/ML. With over 20 years of global talent experience, TMS combines human expertise with cutting-edge solutions to help enterprise clients transform and thrive across North America, the UK, and India. 
At the forefront of digital transformation, TMS helps global enterprises unlock the power of AI, Data, Security, and Digital enablement. Building on two decades of success in developing elite technology teams, we are now expanding our AI & Innovation practice – accelerating the next phase of growth and impact for our clients worldwide. 
Why Join TMS? 
Join a dynamic, growing organization at the intersection of talent and technology. TMS brings together deep domain expertise and innovation across Digital, Security, Data & Analytics, and AI/ML to deliver value-driven solutions. You'll be part of a forward-thinking team that thrives on execution, impact, and transformation. 
The Role:

• Take ownership of end-to-end data science workflows, from raw data ingestion to production-ready models
• Transform fragmented, multi-source data into structured, reliable datasets suitable for analytics and AI applications.
• Design and deliver high-impact ML and AI solutions that directly influence business KPIs and operational efficiency.
• Apply a combination of traditional ML and modern AI techniques (including LLMs where appropriate) to solve complex problems.
• Partner closely with engineering teams to ensure robust deployment, scalability, and maintainability of models in production.
• Develop actionable insights and dashboards that are aligned with stakeholder needs and drive measurable outcomes.
• Continuously monitor model performance, manage data drift, and implement retraining and optimization strategies.
• Contribute to establishing best practices in data science, MLOps, and AI adoption across the organization.

Who You Are

• You have advanced proficiency in Python (Pandas, NumPy, Scikit-learn) with a strong focus on solving complex, real-world data problems.
• You have deep expertise in SQL, including query optimization, data modeling, and working across heterogeneous data sources.
• You have proven experience designing, selecting, and implementing machine learning models (regression, classification, clustering, ensemble methods) with clear business outcomes.
• You have strong capability in data storytelling and visualization (Tableau, Power BI, or equivalent) to drive decision-making.
• You have solid grounding in statistics and probability, with the ability to apply concepts pragmatically in production scenarios.
• You are experienced with building and deploying solutions on cloud platforms (AWS, Azure, or GCP).
• You have experience working with large-scale and distributed data systems (e.g., Spark).
• You have practical experience applying LLMs, NLP, or Generative AI in production use cases (prompt engineering, embeddings, retrieval, fine-tuning exposure).
• You have working knowledge of deep learning frameworks (PyTorch, TensorFlow).
• You have a strong understanding of MLOps practices, including experiment tracking, model versioning, monitoring, and CI/CD integration.
• You are experienced in designing and maintaining data pipelines and orchestration workflows (Airflow, Prefect, or similar).
• You are familiar with data architecture concepts (data lakes, warehouses, feature stores).