Senior Data Scientist
Omm IT Solutions
Job Description
PLEASE NOTE:
PLEASE NOTE:
- It is a 100% onsite position.
- Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week
- Selected candidate must be able to obtain and maintain a public trust clearance.
- 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
- 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.
- Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree
- 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
Vacancy posted 9 hours ago
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