Senior Data Scientist (NLP / Generative AI)

Company Overview At 4A Consulting, we turn complexity into opportunity. Founded in 2014 and headquartered in Baltimore, MD, we are a women-owned, boutique consulting firm specializing in delivering innovative, data-driven solutions to both the Federal Government and Fortune 500 clients. Our team blends deep industry knowledge with advanced technologies to design tailored strategies that drive measurable and sustainable outcomes. We pride ourselves on an agile, collaborative approach that helps organizations navigate challenges and seize emerging opportunities in a rapidly evolving digital landscape. At 4A, we don’t just deliver projects, we build trusted partnerships that empower our clients to lead with confidence in the digital age. Position Overview We are seeking an experienced Senior Data Scientist specializing in Natural Language Processing (NLP) and Generative AI to support a large federal agency. This role will focus on designing, building, training, and deploying advanced NLP and AI solutions that solve complex enterprise data challenges. The role requires bridging advanced algorithmic research with scalable production systems while translating complex analytical insights into strategic business value. The ideal candidate will have deep expertise in NLP, Machine Learning, Generative AI, Large Language Models (LLMs), cloud-native AI deployment, and advanced statistical analysis. Key Responsibilities • Apply expertise in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs. • Query and analyze complex transactional data using SQL. • 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). • 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 in complex monitoring problems. • Provide accurate, timely, complex, and sophisticated data analysis. • Train and optimize NLP/LLM models and create Python based pipelines. • Build cloud native solutions on AWS. Required Qualifications • Master's with 10+ years, Bachelor's 12+ years, or 18+ years of relevant experience. • Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science and industry experience in Python, SQL, NLP (spaCy/NLTK), and LLM engineering. • Experience with Generative AI and Large Language Models (LLMs) • Experience with ML model deployment and operations like DevOps, MLOps, LLMOps. • Expertise with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy. • Fluent 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), and AWS EC2. • Experience with scalable data frameworks (Apache Spark) and workflow orchestration tools (Apache Airflow). • 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. • Proficient in extracting and manipulating data from diverse sources, including SQL databases (DB2, Oracle, SQL Server), Hadoop, and flat files. • Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.). • Experience with NLP and Generative AI libraries (e.g., spaCy, LangChain), text annotation, and semantic frameworks. • 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. • Excellent analytical skills to identify potential risks and propose effective solutions. • Ability to clean and process large amounts of real-world data. • Ability to obtain and maintain an SSA Public Trust clearance is required. Preferred Qualifications • Prior experience delivering IT projects within federal or state government sectors is highly preferred. • Experience with or a willingness to learn distributed processing via the Hadoop ecosystem (Spark, Impala, Hive). • Experience in parallel processing such as GPU programming with CUDA. • Experience with Natural Language Processing for anomaly detection. • Experience using markup languages such as LaTeX, HTML, etc. • Experience with Mathematica. Applicants must be legally authorized to work in the United States. Employer sponsorship is not available for this position. Why Join 4A • Be part of a mission-driven, women-owned consulting firm with a reputation for excellence. • Work on high-impact projects across federal and commercial clients. • Collaborate in an inclusive, growth-oriented culture where innovation is valued. • Access career development programs, mentorship, and learning opportunities. • Enjoy a comprehensive benefits package, flexible work options, and a focus on work-life balance. Equal Opportunity Statement 4A Consulting is an Equal Opportunity Employer committed to an inclusive hiring process. Applicants requiring a reasonable accommodation due to a disability may contact accommodations@4a-consulting.com. This email is intended solely for accommodation requests. Please note that 4A Consulting participates in the federal E-Verify program. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US. 4A Consulting will only use E-Verify once you have accepted a job offer and completed the Form I-9.