Urgent - Senior Data Scientist - Woodlawn, MD (Onsite) - F2F Interview - Locals

Position Title: Senior Data Scientist

Location: Woodlawn, MD 5 days a week

Type: Contract





Note: Selected candidate must be able to obtain and maintain a public trust clearance





Interview Process: Virtual + F2F





Key Required Skills:

• Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction concepts including Named Entity Recognition, Blocking and Indexing, String Distance Metrics, TF-IDF/Cosine Similarity, Phonetics Encoding, Address Standardization

• Solid Python, Regex, and SQL experience

• Excellent Communication skills



Position Description:

• Develop Analytics Solutions: Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL on enterprise data platforms.

• Data Hygiene & Management: Clean, transform, and manage large-scale datasets from diverse, complex sources, ensuring absolute data integrity, reliability, and security.

• Performance Optimization: Optimize complex SQL queries and database operations to ensure efficient data access, processing, and scalability.

• Engineering Standards: Actively participate in code reviews, enforce version control, and uphold best practices for code quality, reproducibility, and data privacy.

• End-to-End Delivery: Support data validation, testing, deployment, and post-implementation monitoring in a fast-paced environment.



Skills Requirements:

Foundation for Success (Basic Qualifications)

• Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized libraries/frameworks.

• Overall 10+ years’ experience in IT industry



Factors To Help You Shine (Required Skills)

Selected candidate must be able to obtain and maintain a public trust clearance

Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week

Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years 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 TD-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 including:

· Linkage libraries such as Splink / FastLink, Dedupe, or record linkage

· Core Python data science libraries, specifically spaCy for NLP tasks and Scikit-Learn for general machine learning and clustering

• Familiarity with code reviews, version control, and maintaining data security and reproducibility standards.

• Excellent communication skills.



How To Stand Out From The Crowd (Desired 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 to post-implementation.

• Experience retrieving, migrating, and manipulating data from legacy and distributed systems, including PostgreSQL, DB2, Oracle, SQL Server, and Hadoop, as well as unstructured flat files.

• 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 (such as probabilistic match thresholds) 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.