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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** BestPegasus LLC - **Location:** Woodlawn, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** HTML, Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Data Analysis, Cloudera Impala, Nvidia CUDA, Databases, Information Engineering, Data Systems, IBM DB2, DevOps, Distributed Computing Environment, Markup Languages, Apache Hadoop, Apache Hive, Information Sciences, Python (Programming Language), LaTeX, PostgreSQL, Machine Learning, Mathematica, Microsoft SQL Server, MySQL, Natural Language Processing, NLTK (NLP Analysis), NumPy, Oracle (Applications), Regular Expressions, Tensorflow, Azure Machine Learning, Search Technologies, SQLite, SQL Databases, Transaction Data, Data Processing, Pytorch, Large Language Models, Apache Spark, Parallel Computation, Generative AI, Gpu Programming, Git, Pandas, Matplotlib, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Spacy, Software Version Control - **Published:** September 10, 2026 - **Apply:** https://www.dice.com/job-detail/9efe15c9-a9b0-464d-b935-9efb2a82628c ## About the Role Note: Selected candidate must be able to obtain and maintain a public trust clearance ACCEPTING locals only - Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week Key Required Skills- * Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy. * Experience with Generative AI and Large Language Models (LLM) * Excellent Communication skills, Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, and AI/ML/LLM engineering. * Overall 10+ years' experience in IT industry * Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy. * Experience with Generative AI and Large Language Models (LLM) * Evidence of true self-starter and operating independently. * Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks * Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2. * Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search. * Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models. * Experience with ML model deployment and operations like DevOps, MLOps, LLMOps. * Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks. * Ability to clean and process large amounts of real-world data. * Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files. * Excellent Communication skills. * Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.) * Excellent analytical skills to identify potential risks and propose effective solutions. * Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership. * Prior experience with federal or state governments IT projects. * Industry experience preferred * Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive. * Experience working in an analytical research environment. * Experience in parallel processing such as GPU programming with CUDA * Experience with Mathematica * Experience using markup languages such as LaTeX, HTML, etc. * Experience with Natural Language Processing for anomaly detection ## Description * Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs * Well versed in SQL and analyzing trends and transactional data. * Understand real world challenges and develop automated data solutions * Develop, test, and deploy new techniques for NLP understanding * Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs) * Train and optimize NLP/LLM models and create Python based pipelines * Experience building cloud native solutions on AWS * Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution. * Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem. * Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems. * Provide accurate, timely, complex, and sophisticated data analysis. ## Related Videos - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. 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