Job DescriptionLocation: Ahmedabad, India NWork model: In-person NCompany: Iron Fit You — IFY NAbout Iron Fit You NnIron Fit You is a digital health and performance platform that combines wearable technology, physiological data and intelligent insights to help users better understand and improve four essential pillars: Effort, Recovery, Sleep and Focus. NWe are looking for a senior, hands-on Health Data Scientist to lead the analysis, validation and evolution of IFY’s data and insights. NYour missionn NYour mission will be to transform wearable and user data into reliable, scientifically grounded and actionable insights. NYou will work closely with our healthcare, product, development and account management teams to ensure that IFY collects the right data, calculates it correctly and communicates meaningful insights to users. NKey responsibilities Nnn Analyse longitudinal user data across activity, heart rate, HRV, resting heart rate, sleep, recovery and other physiological indicators. N Work with healthcare professionals and account managers to identify relevant insights and opportunities to improve each user’s experience. N Validate whether data from the wearable, mobile application and backend systems is being collected, processed and calculated correctly. N Investigate anomalies and identify possible bugs in data collection, synchronization, algorithms and calculations. N Create automated data-quality checks, validation rules and monitoring systems. N Review and improve database structures, data models and analytical pipelines when necessary. N Support the developmentand validation of baselines, scores,



recommendations and personalized targets. N Compare individual userdata with historical patterns, cohorts and relevant external datasets. N Research scientific literature and public health datasets and translate findings into practical product methodologies. N Explain complex analyses clearly to technical, healthcare and business teams. N Document data definitions, formulas, assumptions, validation methods and findings. NnRequired qualifications Nnn 5+ years of qualified experience in data science, analytics engineering, data analytics or a related position. N Advanced proficiency inSQL and Python. N Strong experience with relational databases, data modelling, ETL processes, APIs and time-series data. N Experience investigating data-quality problems and tracing issues across multiple systems. N Strong knowledge of statistics, trend analysis, anomaly detection and algorithm validation. N Ability to work with large longitudinal datasets and turn analysis into actionable recommendations. N Ability to read, evaluate and apply scientific research. N Strong problem-solving skills and attention to detail. N Excellent written and spoken English. N Availability to work inperson in Ahmedabad. NnPreferredqualifications Nnn Experience with wearable devices, digital health,



fitness technology, sports science or remote patient monitoring. N Familiarity with physiological metrics such as heart rate, HRV, resting heart rate, sleep, physical activity and recovery. N Experience with PostgreSQL, cloud data platforms, data warehouses and business intelligence tools. N Experience designing orvalidating health scores, recommendation engines or personalized baselines. N Familiarity with healthcare data governance, privacy and responsible use of health information. N Academic background in data science, computer science, statistics, biomedical engineering, bioinformatics, public health or a related field. NnWhat success looks like Nnn IFY’s data and calculations are accurate, traceable and consistently validated. N Data anomalies and calculation bugs are identified before they affect users. N Healthcare and account management teams receive clearer, more actionable insights. N IFY’s algorithms and recommendations are supported by real-world data and scientific evidence. N The company develops a scalable and well-documented health data architecture. NTo applynnPlease send your CV and briefly describe: Nn A complex data-quality problem you identified and solved. N A database or analytical pipeline you helped redesign. N An example of how you transformed data or scientific evidence into a product recommendation. NnExperience in digital health or wearables is highly valued, but we are especially interested in candidates who are curious, rigorous and capable of connecting technology, science and real user outcomes.

📌 Senior Health Data Scientist & Analytics Lead -- Wearables & Digital Health (Sabarmati River)
🏢 Iron - Saúde ao seu alcance
📍 Sabarmati River