Commercial Data Scientist

Doximity

. Deliver novel and impactful insights for client organizations using machine learning and AI technologies .

Posted 9/29/2026full-timeRemote • United StatesMid-LevelSenior💰 $119,333 - $172,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Expertise in machine learning and AI technologies to deliver impactful insights, with advanced skills in Python, SQL, and data visualization. Proven ability to collaborate across teams and translate complex data findings into actionable narratives for clients.

Highest-signal resume keywords

Machine Learning TechniquesData VisualizationAdvanced SQL ProficiencyPython ProgrammingData Science Consulting Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisExploratory Data AnalysisExperimental DesignProbability TheoryModel TrainingPyTorchTensorFlowDistributed Data ProcessingObject-Oriented ProgrammingComplex Query Writing

Soft Skills

CollaborationStorytellingClient EngagementContinuous LearningCommunication

Industry Keywords

Healthcare DatasetsData ScienceHigh-Volume DatasetsStructured DataUnstructured Data

Tech Stack

Tools & technologies

PythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

Deliver novel and impactful insights for client organizations using machine learning and AI technologies
Collaborate with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses
Create data products from scratch and automate reusable code for teammates and future projects
Leverage extensive healthcare datasets to identify and classify behavioral patterns of medical professionals
Work within cross-functional delivery teams alongside analysts, engineers, and commercial stakeholders
Exceed client expectations in a fast-paced environment

Requirements

What you’ll need

At least 4 years of professional experience as a Data Scientist or in related roles working with complex, high-volume, structured and unstructured datasets
Prior experience in a data science consulting role at firms such as ZS, Trinity, IQVIA, BlueMatter, etc.
Advanced knowledge of statistical concepts, particularly exploratory data analysis, experimental design, and probability theory
Deep understanding of modern machine learning techniques
Ability to design, train, and evaluate large-scale production models using PyTorch or TensorFlow
Advanced SQL proficiency, including complex query writing and optimization across multiple tables and data relationships
Advanced Python skills, including object-oriented programming, production-grade code design, and modern data science libraries
Hands-on experience with distributed data processing tools and scalable analysis and model training concepts
Excellent data visualization and storytelling abilities
Ability to translate technical insights into clear narratives for internal and client stakeholders
Demonstrated passion for data, continuous learning, and staying current with machine learning research

Benefits

Comp & perks

Equity (where applicable)
Annual bonus or incentive compensation (where applicable)
Medical, dental, and vision insurance
401(k) with company match
Flexible paid time off and company holidays
Paid parental leave
Professional development and learning opportunities
Wellness and mental health resources
Remote work support and home office stipend (where applicable)
Company outings, team lunches, and other social events
Mentorship and professional development
Flexible ways of working and autonomy to own work