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Data Scientist

Job in Addison, Dallas County, Texas, 75001, USA
Listing for: Matlen Silver
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

CHARLOTTE, North Carolina

Position Overview

The DCRS Inbound Correspondence team is looking for a Data Scientist who can be responsible for designing, building and maintaining document capture applications. The ideal candidate will have a solid background in software engineering with experience in building Machine Learning NLP Models and good familiarity with Gen AI Models.

High Level Skill Requirements
  • 7+ years as Data Scientist or related roles
  • At least 5 years programming experience in software development and Agile process
  • At least 5 years Python (or equivalent) programming experience to work with ML/NLP models.
  • Bachelor's degree in Computer Science or a related technical field
  • Deep understanding and some exposure to new Gen AI Open‑source Models
  • Experience setting up supervised/unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection, ensemble methods, and performance metrics visualization
  • Experience in ML/NLP development pipelines of large data sets, both structured and unstructured
  • At least 2 years experience designing and developing enterprise‑scale ML/NLP solutions in one or more of:
    Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing
  • Knowledge and hands‑on experience working with OCR products
  • Master's degree in Computer Science/Data Science or related technical field
Work Arrangement

Three (3) days a week;
Resource must be on site Day 1

Desired Soft Skills
  • Highly motivated, proactive, self‑starter with a strong sense of ownership and ability to create and execute plans without daily oversight
  • Critical thinker capable of analyzing problems, identifying issues, and providing solutions
  • Ability to navigate enterprise data assets across multiple functions
  • Highly organized; effectively prioritizes and balances multiple efforts in a fast‑paced environment
  • Excellent communication and presentation skills
  • Analytical abilities and great problem‑solving
  • Client focused
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