Product Analyst with Data Science

• Level: Mid

• Job type: Full-time (contract)

• Location: Global - Remote

• Team: Product, AI, Data Science

What We Offer:

  • Opportunity to work at the intersection of psychotherapy, AI, and cutting-edge technology.
  • Collaborative work environment with a diverse and international team.
  • Flexible working hours and remote work options.
  • Competitive pay based on experience and qualifications.
  • Opportunities for professional growth and development in the mental health field.
  • Learn from experienced leadership: a CEO with a background in McKinsey and entrepreneurship, and a CTO with 10 years of machine learning and full-stack development experience.


  • Perform advanced statistical analysis to derive key insights and guide product strategy, including regression and cohort analysis.
  • Oversee key product KPIs within a product-led growth framework, integrating user segmentation based on behavior and needs.
  • Collaborate with cross-functional teams to align product roadmap with insights from AI-generated note analysis and user feedback.
  • Use business intelligence tools for essential reporting, maintaining comprehensive dashboards that track crucial business and product metrics.
  • Translate data analyses into clear business recommendations and maintain quality assurance metrics for note content and model output.
  • Develop and manage data science features (e.g., word frequency, clustering, topics) in the tool, ensuring effective display and integration in partnership with design.


  • Bachelor’s degree in Business, Math, Statistics, Computer Science, Statistics, Data Science, or a related field.
  • Minimum of 3 years of experience in a data analysis role, preferably in a product-focused environment.
  • Proficiency in SQL, Python, statistics libraries, and business intelligence tools.
  • Advanced understanding of statistical analysis, data visualization, and predictive modeling.
  • Proven experience performing cohort analysis, user segmentation, and predictive modeling to forecast user behavior and trends.
  • Proven ability to translate data into strategic insights that drive successful business outcomes.
  • Experience with A/B testing.

Personal Qualities:

  • Strong attention to detail and accuracy in work.
  • Proactive mindset with the ability to work independently and collaboratively.
  • Natural curiosity and a passion for understanding user behavior and data.
  • Deep interest in Math and Statistics.
  • Ability to manage multiple projects simultaneously and work under tight deadlines.
  • Strong business acumen and ability to translate complex data into understandable narratives for a variety of audiences.

Nice to Have:

  • Experience with marketing analysis, understanding SEO, CRM, performance marketing, and self-service strategies.
  • Experience with mental health documentation data.
  • Familiarity with Deep Learning & LLMs.
  • Experience with Vertical SaaS, particularly Electronic Health Records (EHRs).
  • Experience or knowledge of the mental health industry from both provider and payer perspectives.
  • Experience working in early-stage hyper-growth startups.

We are an equal opportunity employer and value diversity in our company. We encourage candidates from all backgrounds to apply. If you are passionate about data and want to make a significant impact on our product's development, we would love to hear from you!

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