Científico jefe de datos

Full Time • United States

First, The Data!

  • Over 1.8 million unique chat users
  • Over 250 million conversation data points focused on mental health and emotional wellbeing
  • Over 1.3 million manually labeled data points by our highly trained moderators
  • Over 1.2 million data points on moods and emotions
  • Over 580 thousand resources and services matched in real-time (patented)
  • Over 10 real-time AI engines plus our own corpus and language models (patented)
  • Double feedback loop from users and moderators for ML and fine-tuning.
  • No hate/racism/trolls or other biases in the data, as all user chats are supervised by our moderators

What is Supportiv?

Supportiv is a peer-to-peer mental and emotional well-being platform that actively helps users with their everyday struggles, 24/7/365, at 1/10 the cost of therapy for true accessibility. Based on a multi-patented process, users are matched, according to their natural language expressed needs, and in less than one minute, to a dynamically formed peer group chat of max. 5 users, which is live moderated by a trained professional. As the chat unfolds, we understand more about what the user needs and precision-match hyper-relevant healthcare resources and services in real-time.

Supportiv enables users to cope with, problem-solve, and heal from mental health struggles in an ultra user-friendly, practical, tactical way, outside the confines of the broken US mental health system, by harnessing the power of AI and natural language understanding (NLU).

Supportiv serves top employers and health plans, including two Fortune 10 companies. 92% of users rate the experience 4 or 5/5 stars, and we offer proprietary outcomes measurements unmatched in the industry.


  • Highly analytical, creative, and impact-oriented individual
  • Eager to apply artificial intelligence (AI) and ML to solve real business problems
  • Pumped about analytics and extracting insights from the user interactions on the platform to guide data-driven product development and business decisions
  • Seek solutions proactively, demonstrate a strong bias toward action, and maintain a positive, problem-solving attitude.

Your Experience:

  • 3+ years of post-grad experience in the field of Deep Learning and Natural Language Understanding.
  • Have designed and implemented ML algorithms with feedback loops and automated re-training and fine-tuning pipelines. Evaluations and ML ops best practices.
  • Strong knowledge of modern NLP techniques such as Transformers, Large
  • Language Models, and Machine learning and Deep Learning fundamentals
    Experience with common NLP packages and tools (NLTK, Spacy, Scikit-learn, Pytorch, Huggingface) and using cloud services like AWS, and Google Cloud for ML pipelines.
  • Masters In Computer Science/Data Science/Statistics or Ph.D in deep learning or natural language processing (NLP), or other fields applying NLP/NLU techniques with publications in top-tier journals and conferences.
  • Strong communication and interpersonal skills.
  • Bonus: Experience with multi-language models

Supportiv's Offer:

  • Competitive compensation package with equity for eligible roles.
  • Comprehensive health benefits for you (100% paid) and your dependents, including vision and dental, for full-time, US-based employees.
  • 401k with vested match for full-time, US-based employees.
  • Remote and location agnostic within US time zones.
  • Flexible work, time-off, and company-wide PTO time periods.
  • Free, unlimited use of Supportiv’s anonymous peer support.
  • Collaborate in a multidisciplinary, close-knit, all-star team.
  • Learning and development budget for conferences and courses.
  • In-person team gatherings with a team building, non-work emphasis.

Interview Process:

  • [30 min] Initial screen.
  • In-depth interview stages:
    • [60 min] Core ML interview.
    • [60 min] Technical programming interview.
    • [30 min] Value and cultural fit interview.
    • [60 min] Debrief with company Co-Founders/CEO.
  • Reference check and make you an offer.

How To Apply:

Send a short intro paragraph and a one-page resume to

Let's start the conversation

Request a demo

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