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    REMOTEFULLTIME

    Data Scientist (Equity)

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    PD Consulting Engineers

    Remote · remote · Posted 70d ago

    Sourced fromNaukri
    Undisclosed3–10 yrsfulltimeRemote

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    Section · 01

    About this role

    Job Title: Data Scientist (Equity-Based)

    Company: HiWox
    Location: Remote (India) / Hybrid (Preferred: Bhubaneswar, Odisha)
    Commitment: Part-Time (20-25 Hours/Week) | Founding Team | Equity-Based

    About HiWox

    HiWox is building a next-generation HealthTech platform focused on preventive healthcare, AI-powered health intelligence, and holistic wellness through the 9 Dimensions of Wellness.

    We are building a technology-driven ecosystem combining healthcare professionals, diagnostics, wearable devices, behavioral data, AI, and personalized wellness programs to help individuals and organizations achieve measurable health outcomes.

    As a Data Scientist, you will help build the data and intelligence layer powering HiWoxs health insights, personalization, and future AI capabilities.

    Key Responsibilities Health Data Analytics

    • Collect, clean, structure, and analyze data from wellness assessments, user behavior, biometrics, consultations, wearables, and other health sources.
    • Develop meaningful health and wellness metrics across the 9 Dimensions of Wellness.
    • Identify patterns, trends, correlations, and risk indicators from health and behavioral data.

    AI Predictive Models

    • Develop statistical and machine learning models for health risk assessment, personalization, recommendations, and behavioral insights.
    • Contribute to the development of HiWoxs Digital Health Index (DHI) and improve its scoring and predictive capabilities.
    • Build recommendation systems for personalized wellness interventions and action plans.
    • Experiment with LLMs and AI models for healthcare and wellness use cases.

    Data Infrastructure Product Integration

    • Work with developers and product teams to design data pipelines and APIs required for AI-powered features.
    • Structure datasets and knowledge bases for future AI systems.
    • Ensure data is reliable, scalable, and usable across mobile, web, and enterprise dashboards.

    Research Experimentation

    • Research emerging approaches in healthcare analytics, behavioral science, AI, and preventive healthcare.
    • Design experiments and evaluate model performance.
    • Convert research findings into practical product features and business insights.

    Data Privacy Quality

    • Implement appropriate practices for handling sensitive healthcare data.
    • Ensure data quality, validation, documentation, and responsible use of health information.
    • Work with the product and engineering teams on privacy-conscious data architecture.

    Who Should Apply

    • Bachelors/Masters degree in Data Science, Statistics, Mathematics, Computer Science, AI/ML, Engineering, or a related field.
    • 2-6+ years of experience in data science, machine learning, analytics, or AI.
    • Strong statistical and analytical thinking.
    • Experience working with real-world datasets and building production-oriented models.
    • Interest in HealthTech, AI, preventive healthcare, or behavioral science.

    Preferred Skills

    • Python
    • Pandas / NumPy
    • Scikit-learn
    • SQL
    • Machine Learning
    • Statistical Modelling
    • Data Visualization
    • TensorFlow / PyTorch
    • NLP / LLMs
    • Recommendation Systems
    • Time-Series Analysis
    • AWS / GCP
    • PostgreSQL / MongoDB
    • Healthcare / wearable data

    Immediate Priorities - First 90 Days

    • Understand and structure HiWoxs existing health and wellness data.
    • Contribute to the development and validation of the Digital Health Index (DHI).
    • Build initial analytics and ML models for personalized wellness recommendations.
    • Create data pipelines and datasets required for AI-powered product features.
    • Develop dashboards and insights for consultants, users, and enterprise clients.
    • Establish a strong foundation for HiWoxs future AI-powered health intelligence system.

    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.

    Founder Onboarding Process

    • 3-4 strategic discussions to evaluate technical expertise, mindset, execution ability, and long-term alignment.
    • A 1-month NDA-based collaboration phase to evaluate actual contribution and ownership.
    • Long-term founding team agreement.
    • Equity allocation based on contribution, expertise, and commitment.
    • 5-year vesting structure for core founding members.

    Ideal Candidate

    We are looking for someone who:

    • Can move beyond dashboards and build real intelligence systems.
    • Is comfortable working with ambiguous, messy, real-world healthcare data.
    • Can translate data into actionable health insights and product features.
    • Can work closely with healthcare experts, engineers, product teams, and the founder.
    • Has a strong ownership mindset and enjoys building from the ground up.
    • Bonus if you have experience in HealthTech, Digital Health, Wearables, AI/ML, Healthcare Analytics, or Behavioral Science.

    Were Looking For

    We are not looking for someone who simply creates reports or analyzes historical data.

    We are looking for a founding Data Scientist who can help build HiWoxs health intelligence layer, develop the Digital Health Index, create predictive and personalized wellness systems, and lay the foundation for an AI-powered preventive healthcare platform.



    Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    data qualityPostgresqldata architectureRisk AssessmentPythonHealthcareSQLanalyticalMachine Learning

    Section · Company

    About PD Consulting Engineers

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    PD Consulting Engineers

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