Senior Data Scientist

Reposted 17 Days Ago
Hiring Remotely in United States
Remote
170K-200K Annually
Mid level
Artificial Intelligence • Healthtech • Software
Helping hospitals work smarter
The Role
As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.
Summary Generated by Built In

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.

Role

As a Senior Data Scientist at SmarterDx, you will play a pivotal role in training cutting-edge machine learning models and ensuring their strategic integration into our Clinical AI Platform. Your work will focus on maximizing the business impact of deployed models by optimizing business logic, refining decision frameworks, and accelerating the end-to-end process of model development and deployment. You will collaborate closely with cross-functional teams to enhance our models’ clinical intelligence and delight our customers. This is a high-impact role ideal for someone who thrives in a fast-paced environment and is eager to see their work translate into tangible business outcomes.

**This role is fully remote within the US**

What You’ll Do

  • 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.

What You Bring

  • 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.

Nice To Haves

  • 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).

Our Tech Stack

  • Python
  • SQL
  • PyTorch
  • Sagemaker
  • Snowflake
Compensation

$190 to 220k base

#LI-Remote


#LI-DNI

Benefits
  • 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.

Skills Required

  • 3+ years of experience in data science or machine learning
  • Strong proficiency in Python and deep learning frameworks
  • Deep understanding of statistical modeling and optimization techniques
  • Experience deploying machine learning models into production
  • Familiarity with cloud platforms and MLOps best practices
Am I A Good Fit?
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The Company
New York, New York
310 Employees
Year Founded: 2020

What We Do

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone.

Why Work With Us

SmarterDx helps hospitals work smarter. Our clinical AI recovers millions in earned revenue and improves patient care. As a remote-first team of “Smartians,” we’re building the future of healthcare together—connected, mission-driven, and making a measurable difference every day.

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