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Added 6 mins ago
Senior Analyst, Strategy Modelling
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Senior Dynamics 365 Developer (C# / .NET / Power Platform)
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Title: Senior Dynamics 365 Developer (C# / .NET / Power Platform)
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Java Developer
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Data Engineer (Contract-Dec 2027)
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Canada
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Serve in an external client-facing consulting role and build trusted relationships with utility, government, infrastructure, facility, developer, and industrial clients.
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Senior Plant 3D Administrator
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Knowledge of relational databases and the ability to query relational databases using SQL.
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Advanced proficiency in SQL and relational databases
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Application & Integration Technical Analyst
City of Saint John
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- Full-time
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Added 5 hours ago
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Basic knowledge of code or scripting language (C#, C++, SQL, Python, Lua, etc.)
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Jobgether

Senior Data Scientist

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 5, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in Canada.

Join a mission-driven data science team focused on applying advanced technology to meaningful challenges in healthcare. In this role, you will develop and operationalize machine learning, statistical, and mathematical optimization solutions at scale. You will help advance ML and LLM capabilities while ensuring models are effective, reliable, and trusted by users. Working closely with clinicians, product experts, data scientists, and data platform engineers, you will turn complex data into measurable outcomes. Your work will directly influence products designed to improve healthcare quality, operational efficiency, and patient outcomes. This is a high-impact opportunity to contribute to sophisticated AI solutions in a collaborative, cross-functional environment.

Accountabilities

Build, refine, deploy, and maintain statistical and machine learning models at scale, including NLP and explainable AI approaches.
Develop, tune, and operationalize LLM-based systems while establishing rigorous evaluation methods for performance, reliability, and user trust.
Evaluate different modeling approaches and contribute to the continuous improvement of ML and LLM solutions.
Design experiments and develop analytics frameworks to measure the real-world impact of AI solutions in healthcare environments.
Perform hands-on data engineering, including data cleaning, transformation, analysis, and pipeline development using Python and SQL.
Partner with clinicians, product teams, data scientists, and data platform engineers to translate insights and models into production-ready products.
Communicate technical findings, analytical results, and model performance clearly to both technical and non-technical stakeholders.

Requirements

3+ years of industry experience developing, launching, and maintaining machine learning systems in production at scale.
At least 1 year of experience developing and tuning LLM systems.
Strong programming skills in Python and SQL, with hands-on experience manipulating datasets, cleaning data, and building data pipelines.
Solid software engineering foundations, with a strong focus on code quality, maintainability, and stable architecture.
Demonstrated ability to collaborate effectively with technical and non-technical stakeholders across functions.
Strong analytical and problem-solving skills, with the ability to evaluate modeling approaches and translate complex findings into practical solutions.
Experience working with healthcare data or hospital operations is a plus.
Experience with Databricks, AWS, dbt, or similar data and cloud platforms is a plus.
A master’s degree or equivalent professional experience in Computer Science, Statistics, or a related field is a plus.

Benefits

Opportunity to work on AI and machine learning solutions with a direct impact on healthcare quality and patient outcomes.
Mission-driven and collaborative environment with cross-functional teams.
Exposure to advanced machine learning, generative AI, behavioral science, and healthcare operations.
Opportunity to influence the development of ML and LLM products and contribute to their evolution at scale.
International and multidisciplinary working environment.
Benefits and perks are subject to applicable plan documents and may change over time.
Employment is contingent upon satisfactory completion of applicable pre-employment screening requirements.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Develop, deploy, and maintain machine learning, statistical, optimization, and LLM-based solutions, including NLP and explainable AI, and evaluate their performance, reliability, and real-world impact in healthcare. Build and analyze data pipelines, collaborate with clinical and technical teams to bring solutions into production, and communicate findings to technical and non-technical stakeholders.

Requirements

Requires at least three years of experience developing and maintaining production machine learning systems at scale, including at least one year developing and tuning LLM systems. Candidates should have strong Python and SQL skills, sound software engineering and analytical abilities, and cross-functional collaboration experience; healthcare experience, relevant platforms, and a master’s degree or equivalent experience are preferred.

Skills

Machine Learning
Large Language Models
Python
SQL
Natural Language Processing
Explainable AI
Statistical Modeling
Mathematical Optimization
Data Engineering
Data Pipelines
Experiment Design
Model Evaluation
Data Analysis
Software Engineering
Stakeholder Communication
Healthcare Analytics

Benefits

Healthcare Impact
Collaborative Work Environment
Exposure To Advanced Machine Learning And Generative AI
International And Multidisciplinary Environment

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Large Language Models
Python
SQL
Natural Language Processing
Explainable AI
Statistical Modeling
Mathematical Optimization
Data Engineering
Data Cleaning
Data Transformation
Data Pipelines
Experiment Design
Model Evaluation
Production Systems
Healthcare Data
Hospital Operations
Databricks
AWS
dbt
Generative AI
Behavioral Science
Healthcare Analytics
Software Engineering
Cross-Functional Collaboration

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