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About the role

Data Scientist The DCRS Inbound Correspondence Team is seeking a highly skilled Data Scientist to design, develop, and maintain document capture and intelligent processing solutions. This role combines machine learning, NLP, and emerging GenAI capabilities to transform large-scale structured and unstructured data into actionable insights and automated workflows. The ideal candidate brings a strong foundation in software engineering, hands-on experience building enterprise-scale ML/NLP solutions, and exposure to modern open-source Gen AI models. This individual will operate within an Agile environment, partnering across technology and business teams to deliver impactful solutions.
Key Responsibilities:
  • Design, build, and deploy machine learning and NLP models for document processing and correspondence analysis
  • Develop and maintain end-to-end ML pipelines, including: data ingestion, cleansing, and transformation; feature engineering and model selection; performance tuning, evaluation, and visualization
  • Implement GenAI-driven solutions for document understanding (e.g., summarization, classification, entity extraction)
  • Build and optimize solutions leveraging OCR technologies for scanned and unstructured documents
  • Develop scalable systems to process large volumes of structured and unstructured data
  • Partner with cross-functional teams across Line of Business, Risk, and Technology to deliver solutions aligned with business needs
  • Contribute to software engineering best practices, including CI/CD, testing, and production deployment
  • Work within an Agile delivery model, supporting sprint planning, development, and release cycles
Required Qualifications:
  • 7+ years of experience as a Data Scientist or in a related role
  • Bachelor's degree in computer science, Data Science, or a related technical field 5+ years of programming experience, with strong proficiency in Python for ML/NLP development
  • Proven experience developing supervised and unsupervised ML models, including data analysis and feature engineering, model training, validation, and performance optimization, ensemble techniques, and evaluation metrics
Hands-on experience building ML/NLP pipelines for large-scale datasets (structured & unstructured)2+ years of experience developing enterprise ML/NLP solutions in one or more of the following: Named Entity Recognition (NER), Document Classification, Document Summarization, Topic Modeling, Sentiment Analysis, Dialog Systems Experience working with OCR technologies and document processing solutions Exposure to open-source GenAI models and frameworks (e.g., Hugging Face, LLaMA, Mistral, LangChain)
Salary Range: $100,000-$110,000 a year

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JOB OVERVIEW

Salary

$100,000 - $110,000 per year

Experience level

Senior

Location

Addison, TX

Occupation

Data Scientists

Industry

Other Scientific and Technical Consulting Services

Posted

today

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