Eleos Health

Senior Data Scientist

Tel Aviv, Israel
Python AWS GCP Azure Machine Learning
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Description

Who is Eleos Health?

Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human. Eleos is on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, 

We want to give clinicians the support they need to do the important work only they can do.

What is this opportunity? 

We at Eleos are building a state-of-the-art behavioral health CareOps automation solution, our platform is a cutting-edge solution that turns behavioral health conversations into documentation and intelligence that drives better care, enhances therapists day to day, and increases their effectiveness and success.

Our solution uses cutting edge technology to digitize behavioral health conversations, track evidence-based care, and significantly reduce documentation work.

As a Sr. Data Scientist, you will be spearheading the analysis of tens of thousands of patient-therapist conversations, working closely with our leadership, product, and clinical experts team, to derive insights that directly improve therapy sessions for thousands of people. This is a unique opportunity to join a startup with real impact on the wellbeing and mental health of thousands, applying cutting edge technology for solving a meaningful human problem with huge financial and psychological implications.

Who are you?

  • +5 years of proven industry experience as a data scientist
  • +3 years of experience in Python (production grade coding)
  • Proven experience in developing and delivering end-to-end AI models, from data cleaning, feature engineering, algorithm development, and implementation in production
  • Experience with NLP, LLM applications and Generative AI
  • Experience in Speech & Audio domain (e.g., Speech-to-text, Speakers Separation, Diarization, Speaker identification) – advantage
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) – advantage
  • Start-ups experience - advantage
  • Master's or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field - advantage

How will you contribute?

  • Lead data science projects that directly influence the work of thousands of psychologists, psychiatrists, and other caregivers.
  • Develop end-to-end AI solutions from the research phase through to production.
  • Identify and leverage cutting-edge technologies to facilitate their integration into our products.
  • Mentor and provide technical guidance to other team members.
  • Play a critical role in designing the company’s products.

What qualifications and skills will help you to be successful? 

  • Accountability - we can trust you to take ownership of your tasks from A-Z and understand the gravity of the data you are working with.
  • Agility and adaptability - we can trust you to get things done, learn what it takes on your own and adapt to a very dynamic environment.
  • Communication - you are able to successfully communicate complex issues and problems.
  • Analytical thinking and problem-solving - strong analytical mind with creative problem-solving capabilities.
  • Great interpersonal skills.
  • Team collaboration -  a collaborative team player who excels in working with cross-functional teams, including product, clinical experts, and engineering.

This is a unique opportunity to join a startup that is having a meaningful impact on the well-being and mental health of thousands.

We have:

  • A product that positively impacts peoples' lives every single day.
  • A team of amazing people with a shared vision and the infinite drive to make it happen
  • We offer significant equity.
  • Opportunity to build, grow and become highly instrumental in shaping how technology can increase the effectiveness of therapy.
  • Hybrid work opportunities. 
  • Mental health days off you can take any given moment simply because you need them. 



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