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Senior Data Scientist

Advanced Network Consulting Inc -
Woodlawn, MD

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Job Details

Qualifications

AI models
TensorFlow
Predictive modeling analysis
Text mining tools
Automation
Amazon EC2
PyTorch
DevOps
NumPy
Generative models
Git
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
SQL
Pandas
Machine learning cloud services
Data pipeline scheduling
Model deployment
Version control systems
Supervised learning
Developing large-scale AI models
NLTK
Matplotlib
Cloud Native Design
Scalability
IT
Model training
Cloud solution engineering
Unsupervised learning

Full Job Description

Senior Data Scientist

Location: On-site 5 days/week — local candidates only, ready to interview immediately

Clearance: Must be able to obtain and maintain a Public Trust clearance

Position Summary

We are seeking a Senior Data Scientist with deep, hands-on expertise in Natural Language Processing (NLP) and Generative AI/LLMs to support a federal data science initiative. The ideal candidate is a true self-starter who can operate independently, translate complex analytic problems into automated data solutions, and communicate findings clearly to both technical teams and executive leadership.

Key Responsibilities

Apply hands-on experience in Python, NLP frameworks, SQL, Pandas, NLTK, and spaCy to solve real-world data challenges
Analyze trends and transactional data using strong SQL skills
Develop, test, and deploy new techniques for NLP understanding
Build scalable ML and Generative AI solutions, including Large Language Models (LLMs)
Train and optimize NLP/LLM models and build Python-based data pipelines
Build cloud-native solutions on AWS
Determine the nature of analytic problems, evaluate options, and recommend resolutions
Advise on methods and data needed to evaluate complex data problems
Collaborate with data collectors and analysts to close gaps on complex monitoring problems
Deliver accurate, timely, and sophisticated data analysis

Basic Qualifications

Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science, with industry experience in Python, NLP frameworks, SQL, Pandas, NLTK, spaCy, data science, and AI/ML/LLM engineering
10+ years overall IT industry experience
Education/experience combinations accepted: Master's + 10 years; Bachelor's + 12 years; or 18 years in lieu of a degree

Required Skills

Solid experience with NLP, Python, NLP frameworks, SQL, Pandas, NLTK, and spaCy
Experience with Generative AI and LLMs
Demonstrated self-starter, able to operate independently
Fluency in Python, version control/Git, standard Python packages (Pandas, NumPy, Matplotlib), and ML frameworks

Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, AWS EC2 (Azure ML a plus)
Experience with scalable data engineering frameworks (e.g., Apache Spark) and orchestration frameworks (e.g., Airflow), and/or semantic search
Expert-level data analysis and advanced statistical/ML methods to build, train, test, and evaluate supervised and unsupervised models
Experience with ML model deployment and operations (DevOps, MLOps, LLMOps)
Experience with NLP/Generative AI libraries (e.g., spaCy, LangChain), text annotation tools, and semantic frameworks
Ability to clean and process large volumes of real-world data
Experience retrieving/manipulating data from varied sources (DB2, Oracle, SQL Server, Hadoop, flat files)
Experience with database management systems (PostgreSQL, MySQL, SQLite, SQL, etc.)
Excellent analytical and problem-solving skills; ability to identify risks and propose solutions
Excellent written and verbal communication skills across audiences, including executive leadership

Desired Skills

Prior experience on federal or state government IT projects
Industry experience strongly preferred
Experience with, or willingness to learn, the Hadoop ecosystem (Spark, Impala, Hive)
Experience in an analytical research environment
Experience in parallel/GPU processing (CUDA)
Experience with Mathematica
Experience with markup languages (LaTeX, HTML)
Experience with NLP for anomaly detection

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