Senior Data Scientist

Qventus, Inc

. Build, refine, and maintain statistical and machine learning models at scale, including NLP and explainable AI approaches .

Posted 10/5/2026full-timeRemote • United StatesSenior💰 $130,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying machine learning systems, particularly in healthcare settings, with a strong focus on data engineering, statistical modeling, and cross-functional collaboration. Proficient in Python and SQL, with a commitment to high code quality and performance evaluation.

Highest-signal resume keywords

Machine Learning Systems DevelopmentLLM Systems TuningData EngineeringPython ProgrammingSQL Pipeline Building

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningStatistical ModelingNatural Language ProcessingData CleaningData TransformationPipeline DevelopmentPerformance EvaluationExperiment DesignExplainable AIHigh Code Quality

Soft Skills

Cross-Functional CommunicationCollaborationInfluencing Stakeholders

Industry Keywords

Healthcare AIPatient OutcomesData InsightsUser TrustAI Impact Measurement

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 experiments and 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, product experts, and cross-functional teams
Translate data insights into deployed products
Communicate findings clearly to technical and non-technical audiences
Influence ML models and products that improve healthcare quality, patient outcomes, and company growth

Requirements

What you’ll need

3+ years of industry experience developing, launching, and maintaining ML systems in production at scale
1+ year of 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 building pipelines
Strong coding skills in Python and SQL
Strong software development foundations, including dedication to high code quality and stable architecture
Employment contingent upon satisfactory completion of a pre-employment background investigation and drug test

Benefits

Comp & perks

Open Paid Time Off
Paid parental leave
Professional development
Wellness stipend
Technology stipend
Employee referral bonus
Employee stock option awards
Equal opportunity employment
Reasonable accommodations for individuals with disabilities
Pre-employment background investigation and drug test