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Data Science Engineer
Rubiscape
Pune, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
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Role Overview
Rubiscape’s Data Science Engineer sits at the productive boundary between data science rigour and software engineering discipline — translating complex analytical findings into robust, repeatable, and scalable artefacts embedded in the platform. You will partner with domain experts across BFSI, manufacturing, and healthcare to solve high-value decision problems using statistical modelling, machine learning, and causal inference, then ensure those solutions graduate from notebook to production within our 90-day deployment promise. This role contributes directly to Rubiscape’s track record of delivering 3× faster pipelines and 40% reduction in decision latency for enterprise customers.
Key Skills for This Role
Pythonpandasscikit-learnNumPySciPystatsmodels
Full Job Posting
About the Role
Rubiscape’s Data Science Engineer sits at the productive boundary between data science rigour and software engineering discipline — translating complex analytical findings into robust, repeatable, and scalable artefacts embedded in the platform. You will partner with domain experts across BFSI, manufacturing, and healthcare to solve high-value decision problems using statistical modelling, machine learning, and causal inference, then ensure those solutions graduate from notebook to production within our 90-day deployment promise. This role contributes directly to Rubiscape’s track record of delivering 3× faster pipelines and 40% reduction in decision latency for enterprise customers.
Key Responsibilities
- · Frame ambiguous business problems as precise analytical questions, define success metrics, and design experiments that produce statistically defensible results.
- · Build end-to-end data science solutions — from exploratory data analysis and feature engineering through model selection, validation, and production packaging — using Python, pandas, and scikit-learn.
- · Develop domain-adapted models for Rubiscape’s core industry verticals: credit risk and fraud detection (BFSI), predictive maintenance (manufacturing), and patient outcome modelling (healthcare).
- · Collaborate with data engineers on RubiFlow to translate ad-hoc analytical pipelines into governed, scheduled, and monitored production pipelines.
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