Senior Health Data Scientist & Analytics Lead — Wearables & Digital Health

Location: Ahmedabad, India

Work model: In-person

Company: Iron Fit You — IFY

About Iron Fit You

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.

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

Your mission

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

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.

Key responsibilities

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

Required qualifications

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

Preferred qualifications

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

What success looks like

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

To apply

Please send your CV and briefly describe:

• A complex data-quality problem you identified and solved.
• A database or analytical pipeline you helped redesign.
• An example of how you transformed data or scientific evidence into a product recommendation.

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.