Dista- Data Scientist at Nexthire
Iona, IN
—
Jul 27, 2026
Iona, IN
Jul 28, 2026
What this job asks for AI summary
A Senior Data Scientist role at an AI-powered location intelligence company based in Pune, India. The position involves owning the full ML lifecycle — from data exploration and feature engineering through model deployment and monitoring — to build predictive models and data pipelines that address real-world field operations and enterprise business problems. Suited to a hands-on practitioner with solid Python and SQL skills and some production ML deployment experience.
Mid level · 3+ years · Full-time
Advertised as Senior, but the requirements read as Mid.
Quick apply — this platform usually takes a CV and a few fields.
“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 (8)
This role is located in Baner, Pune, India — US compensation benchmarks do not apply.
The posting requires 3–5 years of experience, which aligns with a Mid-level band despite the 'Senior' title.
TensorFlow/PyTorch is listed under Required Skills but explicitly marked 'preferred' inline — treated as preferred accordingly.
Data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) are listed under Required Skills but framed as 'such as', suggesting familiarity rather than a hard gate; treated as preferred.
Flask/FastAPI appears under Required Skills with firm language ('experience deploying ML models using'), so treated as a hard gate despite the 'or similar' qualifier.
Git, Docker, and MLOps concepts are explicitly described as 'preferred' in the posting.
Cloud platforms (AWS, GCP, Azure) are described as 'an added advantage' — treated as preferred.
No compensation range was provided.
Read the full posting
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