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Data Scientist
Hiringhood
Hyderabad, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
PythonNatural Language ProcessingText matching and similarity algorithmsEntity resolution and record linkageMachine learningStatistical analysis and predictive modeling
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PythonNatural Language ProcessingText matching and similarity algorithms
Role Overview
Hiringhood is seeking a Data Scientist specializing in AI/ML and identity management.
The role develops and deploys AI/ML solutions using real-world identity data.
The position requires hands-on Python development and independent problem-solving.
Key Skills for This Role
PythonNatural Language ProcessingText matching and similarity algorithmsEntity resolution and record linkageMachine learningStatistical analysis and predictive modeling
Full Job Posting
Role Overview
Hiringhood is seeking a Data Scientist specializing in AI/ML and identity management.
The role develops and deploys AI/ML solutions using real-world identity data.
The position requires hands-on Python development and independent problem-solving.
Location and Employment
- The role is based in Hyderabad, India.
- The employment type is full-time and the work arrangement is from the office.
Key Responsibilities
- Develop algorithms for name matching, entity resolution, record linkage, duplicate detection, and identity matching.
- Apply NLP and text similarity techniques including Jaro-Winkler, Levenshtein, TF-IDF, n-grams, phonetic matching, embeddings, and transformer-based methods.
- Perform data preparation, feature engineering, statistical analysis, model training, validation, and performance optimization.
- Develop hybrid solutions combining deterministic rules, fuzzy matching, statistical methods, and machine learning.
- Write maintainable Python code and reusable data science and ML components.
- Understand, optimize, and extend an existing Python codebase.
- Deploy ML models as production services or APIs and integrate them into enterprise applications.
- Address model performance issues involving false positives, false negatives, scalability, latency, and explainability.
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