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Senior Data Scientist

2 hours, 51 minutes ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
AWS Azure Deep Learning Feature Engineering GCP LLM Machine Learning MLOps Python PyTorch Snowflake SQL TensorFlow
Apply Now
SmarterDx

SmarterDx

SmarterDx ensures revenue integrity by leveraging A.I. algorithms to uncover missed opportunities in clinical data, optimizing tasks for accurate ICD 10 coding and guaranteeing a 5:1 ROI.

Professional Services
11-50
Founded 2019
View All Jobs 13

Description

  • Develop and refine modeling approaches in collaboration with the Machine Learning Research team.
  • Run rapid experimentation cycles, document learnings, and identify promising directions for further model development.
  • Support deployment by creating standardized model endpoints and interfaces for product workflows.
  • Build tools, utilities, and shared modeling infrastructure that accelerate experimentation and standardize workflows.
  • Collaborate with Engineering, Analytics, and Product teams to integrate models into product workflows and measurable business KPIs.
  • Adapt and enhance existing modeling approaches for new product areas.
  • Identify product needs and communicate them across Data Science and Machine Learning Research teams.
  • Optimize deployed model performance and refine business logic and decision frameworks to maximize impact.

Requirements

  • 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 such as PyTorch or 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 communicate results effectively to stakeholders.
  • Experience deploying machine learning models into production and optimizing performance based on real-world feedback.
  • Strong collaboration skills and ability to work across Engineering, Product, and Analytics teams.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure and MLOps best practices.
  • Experience in healthcare or revenue cycle management (preferred).
  • Familiarity with large-scale data warehouses such as Snowflake (preferred).
  • Experience building internal tools or infrastructure for machine learning experimentation and deployment (preferred).
  • Experience in a startup or high-growth environment (preferred).
  • Knowledge of explainable AI techniques and model interpretability best practices (preferred).
  • Experience developing products leveraging Large Language Models (LLMs) (preferred).

Benefits

  • Medical, dental, and vision coverage with leading insurance providers, covering 75% of premiums depending on the plan.
  • Paid parental leave of up to 12 weeks for birth or adoption.
  • Remote-first work environment with the ability to work from anywhere in the U.S.
  • Unlimited PTO plus 10 company holidays.
  • 401(k) with traditional and Roth options through Fidelity, including a 4% match.
  • Minimal bureaucracy in a fast-moving, high-impact environment.
  • Supportive, mission-driven teammates.

Interested in this position?

Apply directly on the company website

Apply Now

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