Data Science Architect: AI/ML Pipelines & Client Impact

Lovelytics; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

Lovelytics, a Toronto-based data science firm, is seeking a Data Scientist Architect to lead enterprise-grade ML/AI solutions on the Databricks platform. The role involves shaping technical strategy, designing end-to-end ML pipelines, and driving pre-sales engagements from scoping to delivery.

The ideal candidate will blend deep predictive modeling expertise with consulting acumen to influence technical teams and C-suite stakeholders, while delivering scalable AI/ML applications and client value.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, economics or a related field.
• 7+ years of experience in data science & AI/ML, including large-scale solution deployments.
• 5+ years in a client facing role, preferably in a professional services firm.
• Strong communication skills with the ability to influence technical and executive stakeholders.
• Proven track record designing and implementing modern data science solutions in at least two areas: forecasting, anomaly detection, recommendation system, computer vision, risk modeling or mathematical optimization.
• Expert knowledge of Python, SQL and strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.).
• Proficiency with commercial and open-source LLM APIs and tooling like Hugging Face, LangChain, DSPY etc, as well as coding assistants.
• Experience with rapid prototyping and creating proofs of concept, technical presales presentations and pricing for engagements.
• Prior experience with revenue management, price modeling and causal Inference.

Responsibilities

• Define clear business-value metrics (e.g., ROI, revenue impact, cost reduction) alongside technical performance targets for every engagement.
• Lead technical scoping, feasibility assessments and solution design for proposals, Statements of Work and client pitches.
• Design scalable, secure and maintainable end-to-end multi-layer ML/AI pipelines, spanning data analysis, feature engineering, model training, deployment and MLOps.
• Direct cross-functional delivery teams of Data Scientists, Data Engineers and ML Engineers to execute solutions aligned with architectural standards.
• Establish code quality standards, model validation protocols and technical best practices to prevent technical debt and ensure system reliability.
• Articulate technical concepts, model trade-offs and operational risks clearly to both technical teams and non-technical C-suite stakeholders.
• Design operational workflows and user integration strategies to drive high adoption of AI/ML tools among end-users.
• Conduct client enablement workshops and knowledge transfer sessions to build internal capability and ensure long-term solution sustainability.

Skills

Communication skills

Client-facing

Python

SQL

Databricks

ML/AI modeling

Architectural design

Education

Bachelor's or Master's degree in CS/Engineering/Statistics or related

Tools

Hugging Face

LangChain

DSPY

MLFlow

Databricks Delta Tables

Databricks Unity Catalog

Job description

Lovelytics, a Toronto-based data science firm, is seeking a Data Scientist Architect to lead enterprise-grade ML/AI solutions on the Databricks platform. The role involves shaping technical strategy, designing end-to-end ML pipelines, and driving pre-sales engagements from scoping to delivery.

The ideal candidate will blend deep predictive modeling expertise with consulting acumen to influence technical teams and C-suite stakeholders, while delivering scalable AI/ML applications and client value.