Data Scientist
Job in
Addison, Dallas County, Texas, 75001, USA
Listed on 2026-02-15
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
Job Description & How to Apply Below
CHARLOTTE, North Carolina
Position OverviewThe 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
Three (3) days a week;
Resource must be on site Day 1
- 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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