Data Scientist and ML-Ops Practice Lead – Senior Level

Job description:

Titre / Title : Scientifique de données et responsable de la pratique ML-Ops – niveau senior / Data Scientist and ML-Ops Practice Lead – Senior Level

Lieu / Location : 100% télétravail (Québec) / 100% remote (Québec)

Durée / Duration : 24 mois – 35h/semaine / 24 months – 35 hours/week

Le candidat doit posséder les qualifications suivantes :

Description du poste :

Profil 6 – Scientifique de données et responsable de la pratique ML-Ops– niveau senior

Data Scientist and ML-Ops Practice Lead – Senior Level

Activities

The activities to be performed include all or part of the following, without being exhaustive:

Analyze, model, and interpret clinical and administrative data;

Design, develop, and deploy predictive models;

Implement and evolve ML-Ops practices;

Develop and maintain analytical infrastructures;

Ensure the quality, traceability, and reproducibility of analyses and models;

Collaborate with engineering, quality, and governance teams;

Support and train regional and central analytical teams;

Document and methodologically validate analytical approaches;

Conduct continuous technological and scientific monitoring;

Coordinate project implementation under their responsibility;

Track project progress;

Ensure successful achievement of project objectives.

Deliverables

The deliverables to be produced include all or part of the following, without being exhaustive:

Define and document Santé Québec's organizational ML-Ops framework;

Implement standard pipelines for model development, deployment, and monitoring;

Create a common analytical toolbox (templates, libraries, reference datasets);

Develop the Feature Store and initial shared datasets;

Design and deliver a demonstrator predictive model (e.g., workforce forecasting);

Produce a secondary prototype (e.g., CPVSO flow model);

Publish a Power BI dashboard illustrating model results;

Establish a technical ML-Ops committee and a model review process;

Set up a central model registry with metadata and performance indicators;

Define collaboration modes between the central team and satellite teams;

Launch Santé Québec's data science community of practice;

Create an internal training and mentoring program in predictive modeling;

Write documentation on analytical best practices and compliance;

Produce an annual report on performance and analytical maturity indicators;

Develop a three-year roadmap (2025–2028) to scale ML-Ops and predictive capabilities.

Required Qualifications

Advanced proficiency in spoken and written French.

Academic Background

Hold a graduate degree (Master's) in data science, statistics, artificial intelligence, applied mathematics, computer science, or a related field;

Any degree obtained outside Québec must have a comparative evaluation issued by the Ministry of Immigration, Francisation, and Integration (MIFI) at the date of bid opening.

Preferred Academic Background

A PhD in machine learning or predictive modeling applied to healthcare is a significant asset.

Minimum Professional Experience

At least 10 years of experience in information technology;

At least 5 years of experience in data science, including 3 years in a technical leadership or ML-Ops implementation role;

Participation in at least 3 mandates of 5,000 person-days completed over the last 8 years, requiring management of technological concerns across multiple administrative units or organizations in a context similar to VPTI;

Strong experience in integration and processing of large datasets (structured and unstructured) and automation of analytical pipelines;

Demonstrated experience in designing, deploying, and monitoring predictive models in production (Fabric, Azure ML, Databricks, Python, R, etc.);

Experience implementing ML-Ops processes: performance monitoring, model management, feature store, bias and drift monitoring.

Professional Experience – Asset

Senior-level experience executing strategic mandates in a context comparable to VPTI or within an organization of the scale of Santé Québec.

Required Skills

Proficiency in collaboration environments: Teams, SharePoint, Planner, OneNote;

Proficiency in project management methodologies and tools;

Mastery of Microsoft M365 suite;

Advanced proficiency in spoken and written French;

Mastery of Python, R, SQL, DAX, M, and version control tools (Git, Azure DevOps);

Mastery of Microsoft Fabric and Azure environments, including Notebooks, Lakehouse, Data Warehouse, pipelines, and Power BI integrations;

Knowledge of Québec's healthcare and social services network, its systems and databases, and governance issues;

Strong understanding of ethical and regulatory issues related to health data, confidentiality, and privacy protection;

Demonstrated ability to train, mentor, and support multidisciplinary teams;

Excellent oral and written communication skills, with the ability to simplify complex concepts for strategic decision-makers;

In-depth knowledge of major machine learning and deep learning algorithms, including calibration and evaluation.

Preferred Skills

Knowledge of the healthcare sector;

Knowledge of Québec's healthcare and social services network, its systems and databases (SI-RTF, R22, RSIPA, etc.), and governance issues is a major asset.