Manager-Data Scientist

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Manager-Data Scientist

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Job Info

• Job Identification11053
• Posting Date03/06/2026, 09:44 PM
• Job RoleData Science-Gen AI Engineer
• Experience (In Years)3-6
• Job LocationUnited States

Job Description

Position Overview We are seeking a skilled Data Scientist with a focus on Natural Language Processing (NLP) to join our team. The ideal candidate brings 3+ years of hands-on experience working with text data, building NLP models, and developing production-ready machine learning solutions. This role will focus on analyzing unstructured data, designing and implementing NLP models, and collaborating with engineering teams to deploy scalable solutions.

Please note: United States citizenship is a requirement for this position. This position requires a Public Trust security eligibility determination post-hire.

Responsibilities

• · Conduct detailed exploratory data analysis (EDA) on structured and unstructured text datasets to derive insights and inform model development.

• · Design, build, and evaluate models for a variety of NLP tasks, including:

• o Text classification

• o Named entity recognition (NER)

• o Information extraction from unstructured documents

• · Develop and refine regular expressions, traditional NLP pipelines, and transformer-based models to support business use cases.

• · Write high-quality, production-grade Python code, following best practices for scalability, testing, and maintainability.

• · Apply Generative AI techniques and prompt engineering to enhance automation and downstream applications.

• · Collaborate closely with machine learning engineering teams to deploy, monitor, and optimize NLP solutions in production.

• · Utilize cloud technologies such as Azure or AWS to build, train, and manage ML workloads.

Qualifications

• · United States citizenship (required).

• · 3+ years of experience in data science, with significant focus on NLP.

• · Demonstrated expertise in text-based EDA, NLP model development, and working with unstructured data.

• · Strong proficiency in Python and NLP/ML libraries (e.g., spaCy, NLTK, Hugging Face Transformers, scikit-learn).

• · Hands-on experience with Generative AI models and prompt engineering.

• · Strong understanding of machine learning fundamentals, model evaluation, and experiment design.

• · Ability to translate business needs into technical solutions and communicate complex concepts effectively.

Preferred Qualifications

• · Experience deploying NLP solutions in production environments in partnership with ML engineering teams.

• · Hands-on experience with cloud platforms, including Microsoft Azure or Amazon Web Services (AWS).

• · Familiarity with CI/CD workflows, containerization (e.g., Docker), or distributed computing frameworks.

Required Skills

• Adapting To Change
• Advanced Excel
• Attention To Consistency
• Business Intelligence Tools
• Enterprise Data Warehouse
• Interpersonal Dynamics with Coworkers
• Power Business Intelligence
• Results Orientation
• SQL Analysis
• Tableau
• Time Management Skills
• Working under Pressure
• Writing Communication Skills

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