Data Scientist developing machine learning and AI solutions at STATSports. Turning GPS and IMU sensor data into actionable insights for athlete performance and decision - making.
About the role
- Data Scientist analyzing healthcare data to generate insights for better patient outcomes at Particle Health. Collaborating with data engineers and product managers in a hybrid role based in New York City.
Responsibilities
- Build and validate analytical and machine learning models to address key healthcare data challenges.
- Explore, clean, and analyze large-scale healthcare datasets to identify patterns and generate actionable insights.
- Work with Product and Engineering to translate findings into scalable, production-ready solutions.
- Contribute to projects involving AI and NLP, helping extract and summarize meaningful information from clinical text.
- Ensure statistical rigor, accuracy, and reproducibility in all analyses.
- Identify and address data quality gaps to improve completeness and reliability.
- Partner with the Data Engineering team to enhance the usability and consistency of our datasets.
- Develop dashboards and metrics that help internal teams and customers better understand our data.
- Work cross-functionally with Product, Engineering, and Data teams to align on goals and deliver data-driven insights.
- Communicate findings clearly to both technical and non-technical audiences.
- Continuously learn, experiment, and contribute ideas to improve data usage for driving outcomes.
Requirements
- 3+ years in data science, analytics, or a related role
- Proficiency in Python and SQL skills
- Experience working with or strong interest in healthcare data (EHR, FHIR, HL7, claims)
- Experience developing analytical models or applying statistical methods to solve business problems
- Exposure to modern AI methods, such as generative models, large language models (LLMs), or applied AI systems
- Experience with data visualization / BI tools (e.g., Looker, Tableau, or Dash)
- Exposure to machine learning concepts and model evaluation
- Curiosity, problem-solving mindset, strong communication, proactive learner.
Benefits
- ~95% employer-paid health benefits for you and your family.
- Employer-funded 401(k) match to help you build a secure future.
- Mental health benefits to support your well-being.
- Unlimited PTO and a hybrid work environment.
- Lunch provided on in-office days (Tuesdays and Thursdays).
- Twice-a-year bonus program based on contributions and company success.
- Employee equity for sharing in the company’s success.
- 14 weeks of fully paid parental leave.
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