Want to get hired at Humata Health, Inc?
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
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Review Python coding challenges.
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Study machine learning algorithms in Python.
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Practice deploying ML models in staging.
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Brush up on data pipeline architectures.
Behavioral Questions
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Describe a time of teamwork challenges.
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Explain handling tight deadlines effectively.
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Discuss adapting to change in projects.
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Share conflict resolution experiences.