Job Description

Location: Ahmedabad, India

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Work model: In-person

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Company: Iron Fit You — IFY

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About Iron Fit You

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Iron 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.

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We are looking for a senior, hands-on Health Data Scientist to lead the analysis, validation and evolution of IFY's data and insights.

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Your mission

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Your mission will be to transform wearable and user data into reliable, scientifically grounded and actionable insights.

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You 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.

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Key responsibilities

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- Analyse longitudinal user data across activity, heart rate, HRV, resting heart rate, sleep, recovery and other physiological indicators.
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- Work with healthcare professionals and account managers to identify relevant insights and opportunities to improve each user's experience.
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- Validate whether data from the wearable, mobile application and backend systems is being collected, processed and calculated correctly.
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- Investigate anomalies and identify possible bugs in data collection, synchronization, algorithms and calculations.
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- Create automated data-quality checks, validation rules and monitoring systems.
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- Review and improve database structures, data models and analytical pipelines when necessary.
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- Support the development and validation of baselines, scores, recommendations and personalized targets.
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- Compare individual user data with historical patterns, cohorts and relevant external datasets.
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- Research scientific literature and public health datasets and translate findings into practical product methodologies.
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- Explain complex analyses clearly to technical, healthcare and business teams.
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- Document data definitions, formulas, assumptions, validation methods and findings.
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Required qualifications

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- 5+ years of professional experience in data science, analytics engineering, data analytics or a related position.
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- Advanced proficiency in SQL and Python.
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- Strong experience with relational databases, data modelling, ETL processes, APIs and time-series data.
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- Experience investigating data-quality problems and tracing issues across multiple systems.
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- Robust knowledge of statistics, trend analysis, anomaly detection and algorithm validation.
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- Ability to work with large longitudinal datasets and turn analysis into actionable recommendations.
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- Ability to read, evaluate and apply scientific research.
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- Strong problem-solving skills and attention to detail.
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- Excellent written and spoken English.
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- Availability to work in person in Ahmedabad.
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Preferred qualifications

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- Experience with wearable devices, digital health,



fitness technology, sports science or remote patient monitoring.
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- Familiarity with physiological metrics such as heart rate, HRV, resting heart rate, sleep, physical activity and recovery.
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- Experience with PostgreSQL, cloud data platforms, data warehouses and business intelligence tools.
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- Experience designing or validating health scores, recommendation engines or personalized baselines.
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- Familiarity with healthcare data governance, privacy and responsible use of health information.
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- Academic background in data science, computer science, statistics, biomedical engineering, bioinformatics, public health or a related field.
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What success looks like

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- IFY's data and calculations are accurate, traceable and consistently validated.
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- Data anomalies and calculation bugs are identified before they affect users.
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- Healthcare and account management teams receive clearer, more actionable insights.
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- IFY's algorithms and recommendations are supported by real-world data and scientific evidence.
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- The company develops a scalable and well-documented health data architecture.
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To apply

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Please send your CV and briefly describe:

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- A complex data-quality problem you identified and solved.
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- A database or analytical pipeline you helped redesign.
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- An example of how you transformed data or scientific evidence into a product recommendation.
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Experience 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 (India)
🏢 Iron - Saúde ao seu alcance
📍 India