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Data Science Analyst - Remote
PREMISE HEALTH
- New York, New York, United States
- New York, New York, United States
Über
This is a Full Time, remote Data Science Analyst role.
What You’ll Do
Analysis, Model Development & AI Solutions:
Perform exploratory data analysis to identify patterns and opportunities in healthcare data
Develop predictive models and machine learning solutions under guidance of senior team members
Document model methodology, assumptions, and results to ensure reproducibility
Design text analytics and classification pipelines using LLMs and NLP techniques
Build generative AI solutions including prompt engineering pipelines and LLM‑based classification
Develop and evaluate AI agent workflows for business process automation
Work with LLM APIs and model serving endpoints to integrate AI into analytical solutions
Partner with senior data scientists and stakeholders to align on project goals
Communicate findings and methodologies clearly to technical and non‑technical audiences
Demonstrate a willingness to learn by incorporating feedback effectively
Technical Execution:
Work with common healthcare data including claims, EHR, and laboratory datasets
Write clean, well‑structured, and documented code in Python, PySpark, SQL
Use Git for version control and follow structured development practices
What You’ll Bring
Bachelor’s or Master’s degree in Business Analytics, Data Science, Computer Science, Statistics, or a related STEM field; or completion of an accredited data science or applied AI program
3+ years of experience in data science, AI/ML or advanced analytics
Coursework or projects in applied machine learning and neural networks
Coursework or projects involving generative or agentic AI, LLMs, or NLP
Experience with Python, SQL, and common ML frameworks (e.g., scikit‑learn, PyTorch, TensorFlow, Hugging Face, etc.)
Familiarity with deploying ML/predictive models to production environments
Understanding of statistical methods, AI/ML algorithms, neural networks, and deep learning concepts
Familiarity with generative AI concepts: prompt engineering, LLM APIs, and retrieval‑augmented generation (RAG)
Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.)
Familiarity with Python, SQL, and Git (version control)
Experience with the following is a plus:
Version Control: GitLab
IDE: VS Code
Work‑life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full‑time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company‑sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Additional benefits can be viewed here: https://jobs.premisehealth.com/benefits.
Premise is an equal‑opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.
Premise provides its reasonable and genuinely expected range of compensation for this job of $75,000.00 – $87,000.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors.
For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will earn 0.0692 hours of paid time off per actual hours worked or based on standard schedule, per pay period, and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.
This posting is anticipated to close within 90 days of 04/02/2026.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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