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Data Scientist at EXL Talent Acquisition Team

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Classical ML, Statistics, Entity Resolution, NLP, Fuzzy String Matching, Data Quality Assessment, Pandas, NumPy, Scikit-learn, Hadoop, Hive, Presto, Trino, Data Analysis

Industry

Business Consulting and Services

Description

* Design and implement entity resolution and record linkage pipelines across multiple data sources * Build and evaluate matching algorithms using classical ML, statistical scoring, and fuzzy string-matching techniques * Develop attribute fusion logic to construct canonical golden records from conflicting multi-source data * Analyze data quality issues, document findings, and propose remediation strategies * Data Source Evaluation * Assess new external data sources (open and commercial) for coverage, quality, and applicability to Customer Master use cases * Apply existing evaluation criteria and contribute additional quality metrics where relevant * Produce structured evaluation reports with recommendations for adoption or rejection * Analytics & Reporting * Profile source datasets and track match quality metrics (precision, recall, F1, coverage) * Build dashboards and analytical summaries to communicate pipeline performance to stakeholders * Document data lineage, matching logic, and provenance for audit and reproducibility

Responsibilities

Design and implement entity resolution and record linkage pipelines to create canonical golden records from multi-source data. Evaluate external data sources and build dashboards to track pipeline performance and match quality metrics.