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Data Scientist I

Humata Health, Inc

HybridHybrid

Original Job Summary

Data Scientist I at Humata Health, Inc.

Location: 700 W. Morse Blvd STE 101, Winter Park, FL 32789

Hours: Monday to Friday, 8:00 am to 5:00 pm

Duties

  • Develop predictive models using MLOps practices.
  • Automate prior authorization processes using large data sets.
  • Train and deploy statistical and NLP models for medical records.
  • Push models to staging and production after rigorous testing.
  • Monitor and update production models based on performance data.
  • Maintain and improve data pipelines from raw data to feature stores.
  • Ensure data security and compliance with protection policies.
  • Communicate project status and risks to stakeholders.
  • Review and recommend improvements in operations and processes.

Requirements

  • Master’s degree in Data Science, Engineering or related field.
  • Minimum two years of practical software engineering experience.
  • Proficient in Python for machine learning and data science tasks.
  • Experience with developing, deploying and fine tuning NLP and large language models.
  • Background in building NLP models for classifying medical records.
  • Experience in healthcare production environments.

Work Arrangement

This is a hybrid position with up to 4 remote days per week, reporting to the Winter Park, FL office.

Why Join Humata Health?

  • Impactful work improving healthcare efficiency and patient outcomes.
  • Competitive base compensation and equity opportunities.
  • Comprehensive benefits including unlimited PTO, 401k with match.
  • Career growth in a fast-paced, innovative environment.
  • Inclusive and diverse company culture.

Key skills/competency

Data Science, MLOps, Python, NLP, Machine Learning, Automation, Healthcare, Data Pipelines, Model Deployment, Data Security

How to Get Hired at Humata Health, Inc

🎯 Tips for Getting Hired

  • Customize your resume: Highlight ML, MLOps, and NLP skills.
  • Research Humata Health: Understand their mission and culture.
  • Prepare for technical questions: Focus on Python and data pipelines.
  • Showcase healthcare experience: Emphasize relevant project work.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Study machine learning algorithms in Python.
Practice deploying ML models in staging.
Brush up on data pipeline architectures.

Behavioral Questions

Describe a time of teamwork challenges.
Explain handling tight deadlines effectively.
Discuss adapting to change in projects.
Share conflict resolution experiences.