Sr data scientist

Data Scientist - HiWox

Role: Data Scientist - R&D & Health Intelligence
Company: HiWox
Compensation: Equity Only
Work Mode: Remote / Part-time
Commitment: 20-25 hours/week

About HiWox

HiWox is building a HealthTech and wellness platform focused on preventive healthcare, personalized wellness, health intelligence, and measurable transformation across 9 areas of wellness: physical, emotional, intellectual, social, spiritual, occupational, environmental, financial, and sexual & reproductive wellness.

We are currently in the initial product testing and development stage and are building a multidisciplinary founding team across healthcare, technology, product, data, and business.

Role Overview

We are looking for a founding Data Scientist who can lead the data science and R&D function at HiWox and help build data-driven systems for personalized wellness, health intelligence, assessments, recommendations, and measurable transformation.

This is an equity-only founding team opportunity for someone who wants to build the function from the ground up and work closely with the founders and multidisciplinary team.

Key Responsibilities

• Design and develop data models for the Digital Health Index (DHI) and the 9-domain wellness assessment ecosystem.

• Research and develop predictive, scoring, recommendation, and personalization models for wellness and preventive healthcare.

• Work with healthcare, nutrition, psychology, fitness, and other domain experts to convert multidisciplinary knowledge into structured data and analytical models.

• Define data requirements, build datasets, perform statistical analysis, and identify meaningful patterns and correlations.

• Develop algorithms for risk identification, wellness scoring, personalized recommendations, progress tracking, and transformation measurement.

• Support development of AI/ML-based features within the HiWox platform.

• Build dashboards, analytical frameworks, and reporting systems for users, consultants, and the business.

• Establish data pipelines, data quality processes, and experimentation frameworks as the platform scales.

• Conduct R&D on emerging AI, ML, predictive analytics, and health intelligence applications relevant to HiWox.

• Work closely with the product and technology teams to integrate data science models into the HiWox platform.

Ideal Candidate

• Strong foundation in Python, statistics, machine learning, data analysis, and SQL.

• Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.

• Understanding of predictive modelling, classification, clustering, recommendation systems, NLP, or other relevant ML techniques.

• Strong analytical and research mindset with the ability to work with ambiguous and multidisciplinary problems.

• Experience working with healthcare, wellness, behavioural, lifestyle, or consumer datasets is a plus.

• Interested in AI + healthcare + preventive wellness + personalized intelligence.

• Comfortable working in an early-stage startup where systems and datasets need to be built from scratch.

• Strong ownership, problem-solving ability, and willingness to work closely with founders and domain experts.

What You Get

• Founding Data Scientist position

• Equity participation in HiWox

• Direct collaboration with the founder and multidisciplinary founding team

• Opportunity to build HiWoxs data science and health intelligence function from the ground up

• Ownership of meaningful R&D and AI/ML initiatives

• Opportunity to grow into a core technology/data leadership role

Important

This is an equity-only opportunity with no fixed salary at the current stage. We are looking for someone interested in building long-term value rather than taking up a conventional employment role.

The founder onboarding process includes 3-4 strategic discussions, followed by a 1-month NDA-based collaboration phase to evaluate technical capability, ownership, execution, and long-term alignment. Core founding members will follow a 5-year vesting structure, with compensation introduced after fundraising and revenue stabilization.

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.