Senior Data Scientist

Job not on LinkedIn

🔥 4 minutes ago

🇨🇦 Canada – Remote

💵 $130k - $170k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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Qventus, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

💰 $85M Series D - Qventus on 2025-01

Healthcare • SaaS • Artificial Intelligence

Qventus, Inc. is a healthcare-focused AI and automation company that provides a SaaS platform to hospitals and health systems to optimize clinical operations and patient flow. Its platform combines artificial intelligence, machine learning, and behavioral science to automate administrative workflows across perioperative care, pre-admission testing, and inpatient capacity management—reducing surgery cancellations, shortening length of stay, and improving staff productivity. Qventus integrates with EHRs to deliver AI operational assistants that take action on routine tasks so clinical staff can focus on patient care.

📋 Description

• Build, refine, and maintain statistical and machine learning models at scale, including NLP and explainable AI approaches • Develop, tune, and deploy LLM systems with rigorous evaluation of performance and user trust • Design comprehensive experiments and devise impactful analytics to measure the net impact of AI in healthcare settings • Perform hands-on data engineering, including cleaning, transforming, and building SQL and Python pipelines • Collaborate with clinicians, data scientists, data platform engineers, and product experts to translate data insights into deployed products • Communicate findings clearly to technical and non-technical audiences • Evaluate modeling approaches and operationalize algorithms with data scientists and product teams

🎯 Requirements

• 3+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale • 1+ years experience developing and tuning LLM systems • Strong cross-functional communication with technical and non-technical partners • Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL • Strong software development foundations, dedication to high code quality, and stable architecture • Employment contingent upon satisfactory completion of a pre-employment background investigation and drug test