Senior Health Data Scientist & Analytics Lead

Estatic Infotech Pvt. Ltd. (EIPL); Ahmedabad District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Estatic Infotech Pvt. Ltd. (EIPL) in Ahmedabad seeks a Senior Health Data Scientist & Analytics Lead to drive advanced analytics, time-series insights, and ML-driven health analyses.

Lead data exploration, validate methods, and translate findings into actionable business insights for cross-functional teams. Requires 5+ years of hands-on experience and strong English communication.

Qualifications

• 5+ years of hands-on experience in Data Science, Advanced Analytics, Analytics Engineering, or related roles.
• Advanced proficiency in Python, SQL, Statistics, and Data Analysis.
• Strong experience with large longitudinal and time-series datasets.
• Strong expertise in clustering, segmentation, PCA/dimensionality reduction, multivariate analysis, anomaly detection, trend analysis, and Machine Learning.
• Ability to independently explore datasets and discover non-obvious patterns, user segments, and new hypotheses.
• Understanding of correlation vs causation, bias, significance, and robustness validation.
• Experience with data-quality validation, anomaly investigation, ETL pipelines, APIs, database validation, and root-cause analysis.
• Ability to translate analytical findings into clear, actionable product and business insights.
• Strong communication, documentation, and stakeholder-management skills.

Responsibilities

• Translate complex analytical findings into clear, actionable product and business insights.
• Explore datasets to uncover non-obvious patterns and hypotheses beyond predefined questions.
• Validate calculations/algorithms and trace data issues across source to analytical layer.
• Collaborate with stakeholders to communicate findings and influence product decisions.

Skills

Data Science

Python

SQL

Statistics

Time-series

Machine Learning

ETL pipelines

Data quality

Stakeholder mgmt

Data exploration

Tools

APIs

Databases

Data validation

Job description

POSITION:

Senior Health Data Scientist & Analytics Lead

EXPERIENCE:

5+ Years

WORK MODE:

On-Site

LOCATION:

Science City, Ahmedabad

JOB TYPE:

Full Time

COMMUNICATION:

Strong written and spoken English is a must.

JOB DESCRIPTION:

Primary Skills:

• 5+ years of hands-on experience in Data Science, Advanced Analytics, Analytics Engineering, or related roles
• Advanced proficiency in Python, SQL, Statistics, and Data Analysis
• Strong experience working with large longitudinal and time-series datasets
• Strong expertise in clustering, segmentation, PCA/dimensionality reduction, multivariate analysis, anomaly detection, trend analysis, and Machine Learning
• Ability to independently explore datasets without predefined business questions and discover non-obvious patterns, user segments, behavioral/physiological profiles, and new hypotheses
• Strong understanding of correlation vs causation, confounding factors, bias, statistical significance, uncertainty, and robustness validation
• Experience with data-quality validation, anomaly investigation, ETL pipelines, APIs, database/data-model validation, and root-cause analysis
• Ability to validate calculations/algorithms and trace data issues across source to application to backend to database to analytical layer
• Ability to translate complex analytical findings into clear, actionable product and business insights
• Strong communication, documentation, and stakeholder-management skills

Good to Have:

• Experience in wearables, digital health, healthcare, fitness, sports science, or remote patient monitoring
• Understanding of physiological data such as Heart Rate, HRV, Resting HR, Sleep, Activity, Exercise, and Recovery
• Experience developing or validating health scores, personalized baselines, and recommendation models
• Experience researching and applying peer-reviewed scientific literature and public-health datasets
• AI/LLM-assisted analytics experience

We are NOT looking for a conventional BI/dashboard analyst. We need someone capable of moving beyond "what happened?" and discovering "what is hidden in the data that we have not yet thought to ask?"