Senior Data Scientist

INSPYR Solutions • Windsor Mill, MD

15d • Onsite

About The Position

We are seeking a Senior Data Scientist with strong experience in NLP, text processing, information extraction, entity resolution, Python, and SQL. This role will design and optimize data processing pipelines, work with large and complex datasets, and develop scalable analytics solutions in an enterprise environment.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Information Science, or related field.
• 10+ years of IT experience; alternatively, Master’s + 10 years, Bachelor’s + 12 years, or 18+ years of relevant experience in lieu of a degree.
• Strong hands-on experience with NLP, text processing, information extraction, Python, SQL, and Regex.
• Experience with Named Entity Recognition, entity resolution, record linkage, and data matching techniques.
• Experience with Python libraries/frameworks such as spaCy and Scikit-learn.
• Familiarity with record linkage tools such as Splink, FastLink, Dedupe, or recordlinkage.
• Excellent written and verbal communication skills.
• Ability to obtain and maintain a Public Trust clearance.
• Must be willing to work on-site 5 days per week in Woodlawn, MD.

Nice To Haves

• Experience supporting federal, state, or local government data initiatives.
• Experience with PostgreSQL, DB2, Oracle, SQL Server, Hadoop, and flat files.
• Experience with Jenkins, CI/CD, and data pipeline automation.
• Experience designing and owning data pipeline architectures from discovery through implementation and monitoring.
• Strong analytical, problem-solving, and cross-functional collaboration skills.

Responsibilities

• Design, develop, and maintain data processing and entity resolution pipelines using Python and SQL.
• Apply NLP and text-processing techniques to clean, match, standardize, and extract information from structured and unstructured data.
• Develop solutions using Named Entity Recognition, TF-IDF/Cosine Similarity, Blocking/Indexing, String Distance Metrics, Phonetic Encoding, and Address Standardization.
• Optimize complex SQL queries and database operations for performance and scalability.
• Perform data cleansing, transformation, validation, testing, deployment, and monitoring.
• Participate in code reviews and follow version control, data security, and reproducibility best practices.
• Communicate complex technical concepts and analytical decisions effectively to technical and non-technical stakeholders.

Benefits

• Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior