SmarterDx

Senior Data Scientist

Remote Data Science role with clear candidate location fit.

PostedJun 21, 2026

Eligible countries1 accepted country

Seniority signalSenior

Work settingRemote

Accepted candidate locations

USA

Role overview

Readable role content extracted into sections for faster review.

Develop and refine modeling approaches in close collaboration with the Machine Learning Research team, iterating on experiments to improve model performance.
Execute rapid experimentation cycles, documenting learnings and identifying promising avenues for further development.
Support deployment efforts by creating standardized model endpoints and interfaces for seamless integration with product workflows.
Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams.
Collaborate with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows, ensuring they drive measurable business KPIs.
Adapt and enhance existing modeling approaches to drive impact in new product areas.
Identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams.

3+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment.
Strong proficiency in Python and hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
Deep understanding of statistical modeling, optimization techniques, and data analysis.
Experience working with structured and text data, including feature engineering and data preprocessing.
Ability to translate business objectives into data science problems and effectively communicate results to stakeholders.
Experience deploying machine learning models into production and optimizing model performance based on real-world feedback.
Strong collaboration skills and the ability to work across cross-functional teams including Engineering, Product, and Analytics.
Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
A problem-solving mindset with the ability to balance technical rigor with practical business impact.

Experience in healthcare or revenue cycle management.
Familiarity working with large-scale data warehouses such as Snowflake.
Experience building internal tools or infrastructure to support machine learning experimentation and deployment.
Previous experience working in a startup or high-growth environment.
Knowledge of explainable AI techniques and model interpretability best practices.
Experience developing products leveraging Large Language Models (LLMs).

Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
Remote-First Team – Work from anywhere in the U.S.
Unlimited PTO & 10 Holidays – So you can relax and recharge.
401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

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