Sr Data Scientist

Job Summary Responsibilities

• Build the foundation of Kefilos Nutrition Intelligence System using nutrition, lifestyle, health, fitness, and customer transformation data.
• Develop data models to support personalized nutrition, meal recommendations, wellness insights, and transformation tracking.
• Work with nutritionists and healthcare experts to convert scientific nutrition frameworks into structured, usable data.
• Design data pipelines and systems to collect, clean, structure, and analyze customer and product data.
• Develop predictive models for customer outcomes, engagement, adherence, retention, and transformation.
• Build recommendation systems for personalized meals, nutrition plans, and lifestyle interventions.
• Analyze customer transformation data to identify patterns, correlations, and factors influencing outcomes.
• Develop dashboards and analytics for nutritionists, customers, and the internal team.
• Work closely with the app developer and product team to integrate data science models into the Kefilo platform.
• Research and implement AI/ML approaches that can make Kefilos personalization system more intelligent over time.
• Establish data quality, validation, privacy, and documentation standards for health and nutrition data.

Key Areas You'll Work On Preferred Skills & Experience

• Bachelors/Masters degree in Data Science, Statistics, Mathematics, Computer Science, AI/ML, Engineering, or a related field .
• Strong Python skills and experience with pandas, NumPy, scikit-learn or equivalent.
• Strong understanding of statistics, machine learning, data analysis, and experimentation.
• Experience with SQL and databases.
• Experience building ML models and deploying them into real-world applications.
• Experience with recommendation systems, NLP, predictive analytics, or generative AI is a strong advantage.
• Experience working with healthcare, nutrition, fitness, HealthTech, FoodTech, or consumer data is highly preferred.
• Strong ability to work with domain experts and convert business/scientific problems into data problems.

Immediate Priorities - First 90 Days

• Understand and structure Kefilos existing nutrition and transformation framework.
• Define the data architecture required for the Nutrition Intelligence System.
• Identify the key data points required from customers, nutritionists, food products, and transformation programs.
• Build initial analytics and personalization models.
• Develop the first version of a nutrition recommendation framework.
• Establish data collection, cleaning, validation, and documentation processes.
• Work with the product and nutrition teams to integrate data science into the Kefilo app.
• Identify high-impact AI/ML use cases that can be built cost-effectively at the current stage.

Before Moving Ahead, I'd Genuinely Like to Understand:

• What data science/ML projects have you built and deployed, and what was your specific contribution
• If you joined Kefilo today, how would you approach building the Nutrition Intelligence System from scratch with limited initial data
• What AI/ML use cases would you prioritize in the first 90 days to create real value for customers and the business
• Most importantly, why are you willing to take the risk of working with Kefilo on an equity-only, part-time, remote arrangement for 6-8 months or potentially longer, until we secure funding What makes this opportunity worth taking that risk for you

Please Also Share:

• Resume/CV
• LinkedIn Profile
• GitHub / Portfolio
• Educational Qualifications
• Relevant Certifications
• Previous Data Science / AI/ML Projects
• Research papers, publications, Kaggle projects, or relevant work
• Any healthcare, nutrition, recommendation-system, or predictive analytics experience
• Anything else that demonstrates your technical expertise, problem-solving ability, and ownership mindset.

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