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Senior Data Scientist

1 month, 1 week 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 SageMaker 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 15

Description

  • Develop and refine modeling approaches in collaboration with the Machine Learning Research team.
  • Run rapid experimentation cycles and document learnings to guide further model development.
  • Support deployment by creating standardized model endpoints and interfaces for product integration.
  • Build tools and utilities that improve shared modeling infrastructure and standardize workflows.
  • Collaborate with Engineering, Analytics, and Product teams to integrate models into product workflows and drive measurable 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 business logic and decision frameworks to maximize the impact of deployed models.

Requirements

  • 3+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment.
  • Strong proficiency in Python.
  • 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 to stakeholders.
  • Experience deploying machine learning models into production and improving performance using real-world feedback.
  • Strong collaboration skills 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 ML experimentation and deployment, preferred.
  • Previous 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.
  • Our tech stack includes Python, SQL, PyTorch, Sagemaker, and Snowflake.

Benefits

  • Base salary of $190k to $220k.
  • Comprehensive medical, dental, and vision coverage with 75% of premiums covered depending on the plan.
  • Up to 12 weeks of paid parental leave.
  • Remote-first work environment with the ability to work from anywhere in the U.S.
  • Unlimited PTO plus 10 holidays.
  • 401(k) with traditional and Roth options, including a 4% company match.
  • Fast-moving environment with minimal bureaucracy.
  • Supportive, mission-driven team and colleagues.

Interested in this position?

Apply directly on the company website

Apply Now

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