Senior Data Scientist

Amatriot Group, LLC; Woodlawn (MD); On-site; USD 130,000 - 180,000; Full time

Job summary

Amatriot Group, LLC in Woodlawn, MD is seeking an experienced data analytics professional to develop and maintain advanced data processing and entity resolution solutions. The role focuses on Python and SQL, supporting data cleansing, validation, deployment, and monitoring while upholding data integrity and privacy standards.

The candidate will enhance data hygiene, optimize performance, and contribute to scalable enterprise data platforms.

Qualifications

• Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with NLP, Text Processing, Information Extraction, Python, SQL, Regex and related libraries.
• Master’s degree with 10+ years of IT/analytics experience or 18+ years in lieu of a degree.
• 10+ years of IT industry experience.
• Strong NLP, Text Processing, and Information Extraction experience required.
• Experience with Named Entity Recognition and Address Standardization.
• Knowledge of data matching (Blocking/Indexing, String distance, Phonetics).
• Experience with TF-IDF and Cosine Similarity for text comparisons.

Responsibilities

• Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL.
• Support end-to-end data delivery from validation to deployment and monitoring.
• Clean, transform, and manage large-scale datasets with an emphasis on data integrity and security.
• Optimize SQL queries and database operations for performance and scalability.

Skills

Python

SQL

NLP

Regex

Information Extraction

Data Cleaning

Code Reviews

Education

Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science

Master’s degree with 10+ years of experience

Bachelor’s degree with 12+ years of experience

18+ years of experience in lieu of a degree

Tools

Splink

FastLink

Dedupe

recordlinkage

spaCy

Scikit-Learn

Job description

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Location: Woodlawn,MD
Security Clearance: M ust be able to obtain and maintain a public trust clearance
Job Type: Full-Time

Target Salary Range*:$130,000 - $180,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview

Develop and maintain advanced data processing and entity resolution solutions using Python and SQL on enterprise data platforms. Support data cleansing, validation, optimization, testing, deployment, and monitoring while maintaining data integrity, security, reproducibility, and privacy standards.

Key Responsibilities

Analytics Solutions

Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL on enterprise data platforms.

Support end-to-end delivery from data validation and testing through deployment and post-implementation monitoring.

Data Hygiene and Management

Clean, transform, and manage large-scale datasets from diverse and complex sources.

Ensure data integrity, reliability, and security.

Performance Optimization

Optimize complex SQL queries and database operations to support efficient data access, processing, and scalability.

Participate in code reviews and enforce version control.

Uphold best practices for code quality, reproducibility, data privacy, and security.

Qualifications

Education

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. [Required]

Master’s degree with 10+ years of experience, Bachelor’s degree with 12+ years of experience, or 18+ years of experience in lieu of a degree. [Required]

Experience

10+ years of overall experience in the IT industry. [Required]

Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction. [Required]

Practical knowledge of Named Entity Recognition and Address Standardization for extracting and cleaning unstructured text data. [Required]

Deep understanding of data matching strategies, including Blocking and Indexing, String Distance Metrics, and Phonetic Encoding. [Required]

Experience applying TF-IDF and Cosine Similarity for text comparisons and information retrieval. [Required]

Skills

Strong Python development skills for building analytics solutions and manipulating data. [Required]

Advanced SQL proficiency for complex data querying, optimization, and database operations. [Required]

Practical experience using Regex for advanced text processing, data cleansing, and pattern matching. [Required]

Familiarity with specialized libraries and frameworks, including:

Linkage libraries such as Splink/FastLink, Dedupe, or recordlinkage.

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. [Required]

Clearance

Ability to obtain and maintain a public trust clearance. [Required]

Other Requirements

Willingness to work on-site at SSA HQ in Woodlawn, MD, 5 days a week. [Required]

Preferred Qualifications

Experience

Prior experience delivering IT or data initiatives within federal, state, or local government environments.

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.

Skills

Ability to operate independently, take ownership of data pipeline architectures, and drive projects from data discovery through post-implementation.

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 and written communication skills when collaborating across cross-functional teams.