Data Scientist
Durapid Technologies Pvt Ltd · India
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Jul 13, 2026
India
Jul 21, 2026
What this job asks for AI summary
A mid-level data science role focused on building and deploying machine learning models, conducting statistical analysis, and translating complex datasets into business insights. Day-to-day work spans data pipeline development, SQL-based data extraction, and creating dashboards for stakeholders. Suits candidates with a solid grounding in Python, statistics, and ML, with exposure to cloud platforms or deep learning considered a bonus.
Mid level · 3+ years · Remote
“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 26,200 people nationally plausibly meet what this posting asks for (data scientists). range 11,000–39,400
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 (8)
The posting states '3–5 years of experience,' which maps to a Mid-level band; the title carries no explicit seniority label, so advertised seniority is Unspecified.
Degree is listed under 'Preferred Qualifications' (Bachelor's/Master's), so no hard degree requirement is set.
Streamlit and Git appear in the Required Skills section and are treated as hard gates, though Streamlit is an uncommon hard requirement for a data science role — hiring managers should verify whether this is truly a rejection criterion.
Cloud platform experience (AWS, Azure, GCP) is listed under Preferred Qualifications; AWS is used as the primary name with Azure and GCP as alternatives.
Deep Learning, NLP, and Generative AI are explicitly called 'an added advantage' — listed as preferred.
Power BI and Tableau are listed as preferred; Power BI is the primary with Tableau as an alternative.
No compensation, location, or employment type was specified in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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