Senior Data Scientist

ICT MONDIAL INC

United States

20 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Business Analytics Applications Business Logic Big Data Software Quality Code Review Encodings Continuous Integration Data Validation Data Cleansing Data Discovery Data Integrity Data Security

+19 more

Distributed Systems Text Processing Information Extraction Information Retrieval Information Sciences Python (Programming Language) Named Entity Recognition Pattern Recognition Regular Expressions SQL Databases Enterprise Data Management Data Processing Freeform SQL Sql Optimization Indexer Information Technology Software Version Control Data Pipelines Jenkins

Job description

Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL on enterprise data platforms.
Clean, transform, and manage large-scale datasets from diverse, complex sources, ensuring data integrity, reliability, and security.
Optimize complex SQL queries and database operations to ensure efficient data access, processing, and scalability.
Actively participate in code reviews, enforce version control, and uphold best practices for code quality, reproducibility, and data privacy.
Support data validation, testing, deployment, and post-implementation monitoring.

Requirements

Bachelor’’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science.
Overall 10+ years of experience in the IT industry; Master’’s degree with 10+ years, Bachelor’’s degree with 12+ years, or 18+ years of experience in lieu of a degree.
Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction, including:
Practical knowledge of Named Entity Recognition and Address Standardization to extract and clean unstructured text data.
Deep understanding of data matching strategies, including Blocking and Indexing, String Distance Metrics, and Phonetic Encoding.
Experience applying TF-IDF and Cosine Similarity for text comparisons and information retrieval.
Strong Python development skills for building analytics solutions and manipulating data.
Advanced SQL proficiency for complex data querying, optimization, and database operations.
Practical experience using Regex for advanced text processing, data cleansing, and pattern matching.
Familiarity with specialized libraries and frameworks.
Excellent communication skills., * Prior experience delivering IT or data initiatives within federal, state, or local government environments.
Proven ability to operate independently, take ownership of data pipeline architectures, and drive projects from data discovery through post-implementation.
Experience retrieving, migrating, and manipulating data from legacy and distributed systems.
Experience utilizing Jenkins to automate continuous integration, testing, and deployment (CI/CD) for data validation pipelines.
Experience with pipeline automation tools to schedule and monitor complex data cleansing jobs.
Strong ability to translate complex algorithmic decisions into clear business logic for executive leadership and non-technical stakeholders.
Excellent problem-solving skills and proven verbal/written communication skills when collaborating across cross-functional teams.