Data Scientist (Part-time, Equity Only)

Department Icon Data Science Analytics & Machine Learning
Posted: 3 months ago
0-1 years
India
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 3 months ago
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Job Description

Job Title: Data Scientist (Equity-Based)

Company: HiWox

Location: Remote (India)

Commitment: Part-time (20–25 Hours/Week) | Founding Team | Equity-Based

About HiWox

HiWox is building a technology-driven healthcare and wellness ecosystem that integrates the 9 dimensions of wellness into one intelligent platform.

Our mission is to make preventive healthcare personalized, accessible, measurable, and data-driven by combining AI, healthcare expertise, behavioral science, wearable technologies, and digital health solutions.

We are building a platform that connects users with doctors, nutritionists, psychologists, physiotherapists, fitness experts, hospitals, gyms, laboratories, and wellness professionals while delivering intelligent, personalized healthcare journeys.

As a Data Scientist, you will help build the intelligence layer of HiWox by transforming healthcare data into predictive models, personalized recommendations, and actionable insights.

Key Responsibilities

  • Build HiWoxs AI-Powered Wellness Intelligence Engine by developing machine learning models, wellness scoring algorithms, risk prediction models, and personalized recommendation systems using multi-dimensional health data.
  • Design scalable data pipelines for collecting, cleaning, integrating, and analyzing data from health assessments, wearable devices, nutrition logs, fitness tracking, consultations, behavioral patterns, and user interactions.
  • Develop predictive models for disease risk assessment, lifestyle adherence, customer engagement, wellness outcomes, churn prediction, and personalized intervention strategies.
  • Collaborate with healthcare professionals, AI engineers, product managers, and software developers to translate scientific healthcare knowledge into intelligent digital solutions.
  • Build business intelligence dashboards, analytics frameworks, KPI tracking systems, and automated reporting tools to support product development, customer success, operations, and strategic decision-making.
  • Conduct research on healthcare AI, digital biomarkers, behavioral analytics, generative AI, and emerging technologies while contributing to publications, patents, and long-term R&D initiatives.
  • Continuously evaluate model performance, validate algorithms using real-world data, and improve personalization through experimentation and evidence-based approaches.
  • Support data governance, privacy, security, and ethical AI practices while ensuring compliance with healthcare data standards.

Who Should Apply

  • Background in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Statistics, Mathematics, Biomedical Engineering, or related fields.
  • Strong knowledge of Python, SQL, Machine Learning, Deep Learning, Data Visualization, and statistical analysis.
  • Experience with TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, or similar AI/ML frameworks.
  • Experience in recommendation systems, predictive analytics, NLP, time-series analysis, computer vision, or healthcare AI is preferred.
  • Understanding of cloud platforms, APIs, databases, and MLOps workflows is an added advantage.
  • Passion for healthcare innovation, AI research, and solving real-world healthcare challenges.
  • Entrepreneurial mindset with the ability to work independently and build products from scratch.

Immediate Priorities (First 90 Days)

  • Build the first version of the Wellness Intelligence Engine for personalized wellness recommendations.
  • Develop user segmentation models and wellness scoring frameworks based on the 9 dimensions of wellness.
  • Create predictive analytics models for user engagement, program adherence, and health outcome tracking.
  • Build analytics dashboards for product, marketing, customer success, and healthcare teams.
  • Design scalable data architecture and machine learning workflows for future AI development.
  • Work closely with healthcare experts to validate models and integrate intelligence into the HiWox platform.
  • Research future opportunities in wearable analytics, digital biomarkers, preventive healthcare AI, and personalized wellness.

What Youll Gain

  • Opportunity to become a founding member of an AI-driven healthcare technology startup.
  • Equity ownership with long-term wealth creation potential.
  • Freedom to build the complete AI and data science ecosystem from the ground up.
  • Exposure to healthcare AI, behavioral science, digital health, wearable technologies, predictive analytics, and startup leadership.
  • Opportunity to work alongside doctors, healthcare researchers, AI engineers, and product leaders.
  • Play a key role in creating one of Indias most intelligent preventive healthcare platforms.

    Equity-Based Opportunity

  • This is an equity-only founding team role.
  • There is no fixed salary during the initial bootstrapping phase. Compensation will be introduced after fundraising and revenue stabilization.

Our Onboarding Process Includes

  • 3–4 strategic discussions with the founder.
  • A 1-month NDA-based collaboration phase to evaluate ownership and execution.
  • Long-term role structuring and co-founder/founding team agreement.
  • Equity allocation based on contribution, ownership, and long-term commitment.
  • A 5-year vesting structure for all core founding members.

Were Looking For

We are not looking for someone who simply builds machine learning models.

We are looking for a research-driven AI builder who can develop intelligent healthcare algorithms, transform complex health data into meaningful insights, and help create one of Indias most advanced preventive healthcare platforms through data science, artificial intelligence, and continuous innovation.

Skills: intelligence,data,analytics

Skills

Artificial IntelligenceData VisualizationPythonData ArchitectureData GovernanceData ScienceDeep LearningMachine LearningPredictive AnalyticsVisualizationAi/mlData ScientistAnalyticsAiMlSql

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