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Open nowPosted 18 hours ago

Senior Data Scientist

Jobgether4,386 open roles

Where
Canada
Work mode
Remote
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Your applicationOpen nowSenior Data ScientistJobgether · Canada

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Jobgether's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 5 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.8%14 days
  5. 34.2%30 days
This job: posted 18 hours ago

Jobgether median: 5 days open

The posting

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.
  • 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.
  • 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.

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