Data Scientist – Public Trust Required

TheCorporate LLC; Woodlawn (IL); On-site; USD 110,000 - 138,000; Full time

Job summary

TheCorporate LLC seeks an experienced Data Scientist with 10+ years of IT experience to lead entity resolution, record linkage, NLP, Python, and SQL initiatives. The role focuses on building scalable data processing, deduplication, and privacy-conscious data solutions.

This 100% onsite Woodlawn, MD position requires a Public Trust eligibility and hands-on work with big datasets, modern NLP techniques, and production-grade data pipelines.

Qualifications

• 10+ years of IT industry experience.

Responsibilities

• Design, develop, and maintain advanced data processing and entity resolution pipelines using Python and SQL.

Skills

Entity resolution

Record linkage

NLP

Python

SQL

Regex

Data pipelines

Communication skills

Data quality

Data privacy

Version control

Code reviews

Education

Statistics/Applied Mathematics/CS/Information Science

Tools

Splink

FastLink

Dedupe

recordlinkage

spaCy

scikit-learn

PostgreSQL

DB2

Oracle

SQL Server

Hadoop

Jenkins

CI/CD

Job description

Data Scientist — Entity Resolution / Record Linkage | Public Trust Required

Location: Woodlawn, MD

Work Model: 100% Onsite — 5 Days/Week

Employment Type: W2

Experience: 10+ Years

Compensation: $80–$100/hour W2

Clearance: Public Trust Required / Must Be Eligible to Obtain

Job Summary

We are seeking an experienced Data Scientist with 10+ years of IT experience and strong expertise in Entity Resolution, Record Linkage, NLP, Python, and Advanced SQL.

The ideal candidate will have hands-on experience building data processing and record-matching solutions that identify, link, cleanse, and deduplicate records across large and complex datasets.

Key Responsibilities

• Design, develop, and maintain advanced data processing and entity resolution pipelines using Python and SQL.

• Apply NLP and information extraction techniques including Named Entity Recognition (NER), blocking and indexing, string distance metrics, TF-IDF, cosine similarity, phonetic encoding, and address standardization.

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

• Develop solutions focused on data quality, integrity, security, and privacy.

• Write and optimize complex SQL queries and database operations for performance and scalability.

• Perform data validation, testing, deployment, and post-implementation monitoring.

• Participate in code reviews and follow version-control and reproducibility standards.

• Develop and maintain reliable, scalable data pipelines.

• Translate complex matching algorithms, thresholds, and probabilistic scoring into understandable business logic.

• Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.

Required Qualifications

• 10+ years of IT industry experience.

• Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, Information Science, or a related field.

• Strong hands-on experience with Entity Resolution, Record Linkage, and Deduplication.

• Deep practical knowledge of NLP and information extraction.

• Experience with:

• Named Entity Recognition (NER)

• Blocking and indexing

• String distance metrics

• TF-IDF

• Cosine similarity

• Phonetic encoding

• Address standardization

• Hands-on experience with Splink, FastLink, Dedupe, or recordlinkage.

• Strong Python programming and data-pipeline development skills.

• Advanced SQL skills, including complex queries and optimization.

• Strong Regex skills for data cleansing and pattern matching.

• Experience with spaCy and scikit-learn.

• Strong written and verbal communication skills.

Preferred Qualifications

• Experience working with federal, state, or local government data.

• Experience with PostgreSQL, DB2, Oracle, SQL Server, Hadoop, and flat files.

• Experience with Jenkins and CI/CD.

• Experience with data pipeline scheduling, automation, and monitoring tools.

• Experience owning data pipeline architecture from data discovery through production and post-implementation.

Public Trust Requirement

The selected candidate must be eligible to obtain and maintain a Public Trust suitability determination and successfully complete the required federal background investigation.

Previous Public Trust or federal clearance/suitability experience is highly preferred.

Work Location

This is a 100% onsite position in Woodlawn, Maryland, Monday through Friday.

The position is not remote or hybrid. Candidates must currently live within reasonable commuting distance or have a firm relocation plan before starting the position.

Relocation assistance is not provided.

Employment Requirements

• W2 employment only

• Must be legally authorized to work in the United States

• Must be able to work on W2 without sponsorship or transfer