Advanced Data Scientist developing in - house and third - party analytical systems at Honeywell. Leverage AI - ML models and data mining techniques to enhance security insights.
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.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Head of Analytics leading strategies for Customer Care and Shipping Analytics at Back Market. Focused on elevating customer satisfaction and operational efficiency through data - driven insights.
Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.
Senior Data Scientist focusing on ML systems for Walmart's Trust and Safety. Collaborating on compliance models and overseeing the full model lifecycle.
Head of Data leading development and execution of data strategy at Verity. Mentoring a team to deliver insights and drive business growth while collaborating with multiple departments.
Senior Data Scientist responsible for credit modeling at Clair, utilizing machine learning to assess risk and optimize decisions. Collaborating with cross - functional teams and deploying models in production environments.
Senior Product Manager responsible for transforming user needs into scalable products for Seyna. Collaborating with internal teams to enhance insurance programs and streamline workflows.
Founding AI Data Scientist helping Grand build core AI and data systems for decision - making. Collaborating with teams to leverage complex data for impactful AI solutions.
Data Scientist responsible for AI model development and deployment across client projects. Building reliable AI applications ensuring client success and operational excellence.
Data Science Senior Consultant at Squarcle advising on data science and digital challenges. Collaborating with clients to enhance business efficiency and profitability through data - driven strategies.