Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About The Opportunity

A rapidly growing firm in the HR Technology & Talent Solutions sector operating across India. We build data-driven recruitment analytics and talent-intelligence capabilities that enable faster, smarter hiring decisions for enterprise clients. This is an on-site opportunity for a hands-on Data Scientist to design predictive models, productionise analytics, and partner with Talent Acquisition and Product teams to deliver measurable business impact.

Role: Data Scientist (Primary title: Data Scientist)

Role & Responsibilities

  • Design, develop and validate predictive models (churn, candidate fit, time-to-hire, compensation benchmarking) using structured and semi-structured HR datasets.
  • Perform feature engineering, data cleansing and exploratory analysis to extract actionable signals from recruitment and workforce data.
  • Build reproducible model pipelines and production-ready APIs or containers to deploy models into on-premise or cloud environments.
  • Collaborate with product, engineering and TA stakeholders to translate business problems into analytics requirements and measurable KPIs.
  • Monitor model performance, implement retraining strategies and set up drift detection and alerting for live models.
  • Document experiments, maintain versioning of datasets/models, and contribute to engineering best practices for reproducibility and observability.

Skills & Qualifications

Must-Have
  • Python
  • SQL
  • Pandas
  • Scikit-learn
  • TensorFlow
  • Docker

Preferred

  • AWS
  • MLOps
  • NLP

Benefits & Culture Highlights

  • On-site role with exposure to cross-functional teams—product, engineering and talent advisory.
  • Opportunity to own end-to-end analytics products and influence hiring & workforce strategy for enterprise clients.
  • Learning-focused environment with opportunities for upskilling in MLOps and cloud platforms.

Location

: India — On-siteWe are seeking motivated, pragmatic data scientists who can move from prototype to production quickly and drive measurable outcomes for talent solutions. If you thrive on solving real-world hiring problems with ML and analytics, we want to hear from you.Skills: sql,python,docker,scikit-learn,tensorflow,pandas

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