Senior Data Scientist

Info Origin Inc; Woodlawn (MD); On-site; USD 110,000 - 124,000; Full time

Job summary

Info Origin Inc. in Woodlawn, MD is seeking a Senior Data Scientist with extensive NLP, data processing, and entity resolution experience. The role focuses on building scalable data pipelines, improving data quality, and matching records across large datasets.

The ideal candidate will have 10+ years in IT, strong Python/SQL skills, and hands-on NLP/extraction capabilities. Collaboration with stakeholders and adherence to best practices are важны for success.

Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, Information Science, or a related field.
• 10+ years of IT experience.
• Strong hands-on experience with Python and SQL.
• Strong practical experience with NLP, text processing, and information extraction.
• Experience with Named Entity Recognition (NER).
• Experience with entity resolution, record linkage, data matching, or deduplication.
• Knowledge of blocking/indexing and string distance metrics.
• Experience with TF-IDF and cosine similarity.
• Experience with Regex for text processing and data cleansing.
• Knowledge of address standardization and phonetic encoding.
• Strong analytical, problem-solving, written, and verbal communication skills.

Responsibilities

• Design, develop, and maintain advanced data processing and entity resolution pipelines using Python and SQL.
• Process, clean, transform, and manage large-scale datasets from multiple sources.
• Apply NLP, text processing, and information extraction techniques to structured and unstructured data.
• Implement data matching techniques such as NER, blocking and indexing, string similarity/distance metrics, TF-IDF, cosine similarity, phonetic matching, and address standardization.
• Develop data cleansing and validation solutions using Python and Regex.
• Write and optimize complex SQL queries and database operations for performance and scalability.
• Perform data validation, testing, deployment, and production monitoring.
• Participate in code reviews and follow version control, data security, reproducibility, and software development best practices.
• Collaborate with technical teams and business stakeholders to translate complex data-processing logic into practical solutions.
• Troubleshoot data quality and pipeline issues and implement reliable, scalable solutions.

Skills

Python

SQL

NLP

information extraction

NER

entity resolution

record linkage

data matching

deduplication

blocking/indexing

string distance metrics

TF-IDF

cosine similarity

Regex

address standardization

phonetic encoding

Education

Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, Information Science, or related field

Tools

spaCy

Scikit-learn

Splink

FastLink

recordlinkage

DB2

Oracle

SQL Server

Hadoop

Jenkins

CI/CD

Apache Airflow

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Senior Data Scientist

2 days ago Requisition ID: 2036

Salary Range: $80.00 To $90.00 Hourly

Senior Data Scientist

Job Overview

We are seeking an experienced Senior Data Scientist to join our team in Woodlawn, MD. The ideal candidate will have strong hands-on experience in Natural Language Processing (NLP), text processing, information extraction, Python, SQL, and data matching/entity resolution.

This role will focus on developing advanced data processing solutions, building scalable data pipelines, improving data quality, and implementing techniques to identify and match records across large and complex datasets.

Key Responsibilities

• Design, develop, and maintain advanced data processing and entity resolution pipelines using Python and SQL.
• Process, clean, transform, and manage large-scale datasets from multiple sources.
• Apply NLP, text processing, and information extraction techniques to structured and unstructured data.
• Implement data matching techniques such as Named Entity Recognition (NER), blocking and indexing, string similarity/distance metrics, TF-IDF, cosine similarity, phonetic matching, and address standardization.
• Develop data cleansing and validation solutions using Python and Regex.
• Write and optimize complex SQL queries and database operations for performance and scalability.
• Perform data validation, testing, deployment, and production monitoring.
• Participate in code reviews and follow version control, data security, reproducibility, and software development best practices.
• Collaborate with technical teams and business stakeholders to understand requirements and translate complex data-processing logic into practical solutions.
• Troubleshoot data quality and pipeline issues and implement reliable, scalable solutions.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, Information Science, or a related field.
• 10+ years of IT experience.
• Strong hands-on experience with Python and SQL.
• Strong practical experience with NLP, text processing, and information extraction.
• Experience with Named Entity Recognition (NER).
• Experience with entity resolution, record linkage, data matching, or deduplication.
• Knowledge of blocking/indexing and string distance metrics.
• Experience with TF-IDF and cosine similarity.
• Experience with Regex for text processing and data cleansing.
• Knowledge of address standardization and phonetic encoding.
• Strong analytical, problem-solving, written, and verbal communication skills.

Preferred Skills

Experience with one or more of the following is highly desirable:

• spaCy
• Scikit-learn
• Splink
• FastLink
• recordlinkage
• DB2
• Oracle
• SQL Server
• Hadoop
• Jenkins
• CI/CD
• Apache Airflow or other pipeline automation tools

Preferred Experience

• Experience working on federal, state, or local government projects.
• Experience working with large-scale, legacy, or distributed data systems.
• Experience migrating and integrating data from multiple enterprise sources.
• Experience designing automated data-quality and validation pipelines.
• Ability to explain complex data-matching algorithms and business rules to technical and non-technical stakeholders.
• Ability to independently own projects from data discovery through development, deployment, and post-production support.