7 дней назад
Data Scientist - Workflow Automation (AI)
10 800 - 14 850$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist - Workflow Automation (AI): Building production-grade AI-powered automations that connect systems, transform data, and standardize business processes across a cancer-care organization with an accent on workflow reliability, AI evaluation, and API integration. Focus on designing maintainable workflows, analyzing model output quality, handling production failures, and communicating technical tradeoffs to stakeholders.
Location: Hybrid role based at the NY office, with work from home and three office days scheduled by the employee and team.
Salary: $129,600–$178,200 annually, based on the preferred NY location.
Company
develops technology and data solutions to improve cancer care and accelerate oncology research.
What you will do
- Intake automation requests from stakeholders, define requirements, and align priorities across teams.
- Design, build, test, and maintain automations using platforms such as n8n.
- Develop custom logic, data transformations, and integrations with internal systems, databases, and third-party services.
- Write technical design documents that explain approaches, tradeoffs, and delivery expectations.
- Monitor production workflows, troubleshoot failures, and implement error handling and alerting.
- Document workflows so they can be maintained and extended by other technical contributors.
Requirements
- 1–3 years of relevant experience as an applied data scientist or in a similar technical, data-oriented role.
- Prior experience with LLMs and the ability to evaluate AI system output quality and identify improvements.
- Bachelor’s, master’s, or Ph.D. in computer science, data science, or a related field.
- Experience in a production development environment using formal version control and Python or JavaScript.
- Experience parsing JSON, transforming payloads, connecting to databases, and integrating REST APIs.
- Strong communication skills, including the ability to explain complex analyses to stakeholders.
Nice to have
- Familiarity with workflow automation platforms such as n8n, Zapier, Make, or Airflow.
- Deeper understanding of REST APIs, webhooks, OAuth, and API-key authentication.
- Background in consulting, data analysis, solutions engineering, data engineering, or a similar hybrid technical/product role.
Culture & Benefits
- Flexible work hours and flexible paid time off.
- Comprehensive compensation package with potential annual bonus and equity.
- 401(k) contributions and financial health resources, including one-to-one financial advice.
- Mental well-being services, parental benefits, and family-building support.
- Travel support for safe healthcare services and resources supporting continuous learning and inclusion.
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