Senior Data Scientist
Durapid Technologies Pvt Ltd · India
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Jul 21, 2026
India
Jul 22, 2026
What this job asks for AI summary
A senior data science role centered on building machine learning solutions to optimize media performance and analyze media data. The work involves hands-on model development using Python, R, and SQL across cloud environments, as well as communicating findings and insights clearly to business stakeholders. Some exposure to generative AI concepts is considered a bonus for potential future projects.
Senior level · 10+ years
“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
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 (5)
The 5–7 years figure is tied specifically to Machine Learning hands-on experience; the years demanded is set to 5 (the minimum of the range) on that skill.
AWS is listed with specific sub-services (S3, Redshift, SageMaker); GCP and Azure appear in the same 'cloud platforms such as' clause and are captured as alternatives. Databricks and Snowflake are listed in the same sentence but are distinct platforms, so they are emitted as separate required skills.
Data visualization tools (Domo, Tableau, Power BI) are listed under mandatory skills with the explicit caveat that dashboard development is not mandatory but the ability to create visuals is required — captured as a single required skill with alternatives.
Generative AI is explicitly called 'a plus' under the 'Additional Advantage' section, so it is marked preferred.
No compensation, employment type, or degree requirement is stated in the posting.
Read the full posting
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