Data Scientist (5+ exp, Part-time, Equity only) at Kefilo
India
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Jul 19, 2026
India
Jul 21, 2026
What this job asks for AI summary
This is an unpaid, equity-only, part-time founding-team role at an early-stage nutrition technology startup. The work centres on building a machine learning-driven nutrition recommendation engine from scratch — covering model development, data pipelines, BI dashboards, A/B testing frameworks, and AI research — while collaborating with nutritionists, food scientists, and engineers. It suits a self-directed data scientist comfortable with startup-stage ambiguity and deferred cash compensation.
Senior level · Remote · Part-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 10,600 people nationally plausibly meet what this posting asks for (data scientists). range 6,400–15,900
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (10)
This role is based in India (Remote/Hybrid Bhubaneswar); the US-based flag is set to false. The caller has instructed remote=true and no metro to be inferred.
This is an equity-only, no-salary founding team role during the bootstrapping phase. Compensation (salary) is deferred until after fundraising and revenue stabilization. There is no offered compensation to report.
The posting is part-time (20–25 hours/week), equity-based, with a 5-year vesting structure and a 1-month NDA-based trial collaboration phase before a formal founding team agreement.
The 'Who Should Apply' section lists Python, SQL, Machine Learning, Deep Learning, Data Visualization, and Statistics with firm language ('Strong knowledge of'), treated as hard gates. Pandas, NumPy, and Scikit-learn are listed in the same required section alongside TensorFlow/PyTorch and Power BI/Tableau, but the latter pairs are framed as 'such as … or similar platforms', indicating interchangeability; TensorFlow/PyTorch and Power BI/Tableau are each captured as a single skill with alternatives.
Recommendation systems, NLP, LLMs, A/B testing, forecasting, computer vision, and domain experience (healthcare, nutrition, D2C) appear under 'Familiarity with' or as 'added advantage' language — listed as preferred.
No minimum years of experience are stated at the role level.
The title carries no seniority level word; the title states no level. However, the breadth of responsibilities — architecting an AI/analytics platform, building ML pipelines, leading R&D, and acting as a founding team member — supports a Senior classification.
Posting is for a part-time engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Caller marked this a fully-remote role — scored against the national candidate pool.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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