TL;DR

Data Science Engineer (AI): Developing and optimizing algorithms for analyzing physiological and behavioral data with an accent on device-agnostic solutions and performance consistency. Focus on collaborating with cross-functional teams to ensure accurate and scalable health recommendations across platforms.

Location: Remote

Company

%hirify_global% is a leading health monitoring app with 16 million downloads across 130 countries, combining biometrics, science, AI, and design.

What you will do

Develop and test algorithms for analyzing physiological and behavioral data.
Ensure stable performance of scientific algorithms across all target platforms.
Collaborate with the Android team to implement core health features.
Contribute to building a device-agnostic foundation for health recommendations.
Balance scientific accuracy, data diversity, and UX simplicity in implementations.
Test solutions across diverse user personas for personalization and scalability.

Requirements

Strong track record with human data, ideally in biostatistics or time-series data analysis.
Proficient in Python and familiar with the data science & ML ecosystem.
Ability to write clean, maintainable code and debug implementation inconsistencies.
Fluency in AI tools and diverse data models.
Good English proficiency for documentation and tools.

Nice to have

Experience with mobile device optimization.
Familiarity with various programming languages and systems.

Culture & Benefits

Flexible hours and a high-trust culture.
Competitive salary, performance-based bonuses, and stock options.
50% hardware subsidy after 6 months.
Access to a therapist and employee support program.
Health insurance and support for personal learning and development.
Unlimited vacation policy.

Hiring process

HR screening followed by a technical interview with the Team Lead.
Team meeting if needed.