14 часов назад
Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Analyzing tens of thousands of patient-therapist conversations and building end-to-end AI solutions for behavioral health CareOps automation with an accent on NLP, LLM applications, generative AI, and speech technologies. Focus on taking models from data cleaning and feature engineering through production, deriving insights that improve therapy sessions, and designing products that reduce clinical documentation work.
Location: Tel Aviv, with hybrid work opportunities
Company
builds AI-powered CareOps automation for behavioral health and other community-based care teams, turning care conversations into documentation and actionable intelligence.
What you will do
- Lead data science projects influencing the work of psychologists, psychiatrists, and other caregivers.
- Analyze tens of thousands of patient-therapist conversations to derive insights that improve therapy sessions.
- Develop end-to-end AI solutions from research and experimentation through production.
- Identify cutting-edge technologies and integrate them into Eleos products.
- Help design the company’s behavioral health products and CareOps automation platform.
- Mentor team members and provide technical guidance.
Requirements
- More than 5 years of industry experience as a data scientist.
- More than 3 years of production-grade Python experience.
- Experience developing and delivering end-to-end AI models, including data cleaning, feature engineering, algorithm development, and production implementation.
- Experience with NLP, LLM applications, and Generative AI.
- Strong accountability, analytical thinking, problem-solving, communication, and interpersonal skills.
- Ability to collaborate with product, clinical, and engineering teams.
Nice to have
- Experience with speech and audio technologies such as speech-to-text, speaker separation, diarization, or speaker identification.
- Experience with AWS, GCP, or Azure.
- Startup experience.
- Master’s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field.
Culture & Benefits
- Work on a product designed to improve behavioral healthcare and people’s wellbeing.
- Significant equity participation.
- Opportunity to shape how technology improves therapy effectiveness.
- Hybrid work opportunities.
- Mental health days that can be taken whenever needed.
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