F
Flatiron Health
Data Scientist
Skills
Data EngineeringPythonData ScienceGitData AnalysisAINo-code AutomationsZapierMaken8nApache AirflowJavascript
3 months ago
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Important information
Salary:
$129,600 – $178,200 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
10 August 2026
What they need
Who you are
- You're a product-focused data scientist who enjoys turning business processes into reliable, maintainable automations.
- You're excited to build AI-powered workflows that help teams move faster with more standardized and informed processes.
- You’re a kind, passionate and collaborative problem-solver who seeks and gives candid feedback, and values the chance to make an important impact.
- You have 1-3 years of relevant working experience as an applied data scientist or similar technical data-oriented role. Prior experience with LLMs is required
- You hold a bachelors, masters, and/or Ph.D. in computer science, data science, or a related field
- You understand how AI systems are evaluated and can analyze an existing system to understand the quality of its output, assess where improvements are needed, and communicate the impact of those improvements to stakeholders
- You have curiosity and knowledge to investigate, discover, and evaluate new and emerging AI architecture and design
- You have collaborated with other technical team members in a production development environment using formal version control, Python or Javascript
- You have experience working with data: parsing JSON, transforming payloads, connecting to databases or third-party services (e.g., via REST APIs)
- You’re impact-oriented, and care deeply about creating real change for customers, users, and ultimately patients. You choose the right, rather than the flashiest, method available to reach your goals
- You are a clear and confident communicator who can break down complex data analyses to tell a compelling story
- Familiarity with workflow automation platforms (n8n, Zapier, Make, Airflow)
- Deeper understanding of APIs (REST, webhooks, authentication patterns like OAuth and API keys)
- Background in consulting, data analysis, solutions engineering, data engineering, or a similar hybrid technical/product role
What the job involves
- We're looking for someone who can turn ambiguous business requests into reliable, production-grade automations.
- You'll partner with teams across the company to identify automation opportunities, scope requirements, and build automations leveraging AI
- Partner with stakeholders across teams to intake automation requests, define requirements, and align on priorities
- Design, build, test, and maintain automations (e.g., using n8n) that connect systems and automate processes across the organization
- Write design documents that scope technical approaches, surface tradeoffs, and set expectations with partners
- Write code for custom logic, data transformation, and API integrations
- Monitor production workflows, troubleshoot failures, and build in error handling and alerting from the start
- Document workflows so they can be understood, maintained, and extended by others
Benefits
- Work/life autonomy via flexible work hours and flexible paid time off
- 401(k) contribution to help you reach your retirement planning goals
- Financial health resources including 1:1 financial advice
- Mental well-being tools and services
- Parental benefits and policies including family-building care and generous leave
- Path to parenthood programs supporting fertility, adoption and surrogacy
- Travel support for safe healthcare services
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