Today
Top Secret/SCI
Unspecified
Unspecified
IT - Data Science
Herndon, VA (On-Site/Office)
ManTech seeks a motivated, career and customer-oriented Data Scientist Subject Matter Expert to join our AI practice in Herndon, VA. This is a Hybrid position.
Responsibilities include but are not limited to:
Minimum Qualifications:
Preferred Qualifications:
Clearance Requirements:
Physical Requirements:
Responsibilities include but are not limited to:
- Research and evaluate emerging AI, data science, and related technologies, such as Generative AI, tools and approaches for responsible and trustworthy AI
- Develop statistical and advanced analytics models using advanced analytic techniques such as Natural Language Processing, Information Retrieval, Graph Analytics, Computer Vision, modeling and simulation, anomaly detection, and data visualization.
- Direct and actively contribute to proof-of-concept studies and research prototypes in data science and AI. Apply design thinking or other solution-based methods to solve problems consisting of various qualitative activities that support the generation of insightful, mission-centered design solutions.
- Address data science technical challenges in the development of solutions, including algorithms, models, data manipulation, or other technical challenges related to data science.
- Perform solution development through whiteboarding sessions - addressing algorithmic problems, data manipulation tasks, or other technical challenges related to data science. Communicate findings to diverse technical and non-technical stakeholders, and engage clients and engage clients by effectively conveying complex technical concepts.
- Lead and mentor entry-level, mid-level, and senior level practitioners of AI and data science.
- Participate in Internal Research & Development (IRAD) directions in AI, data science, and related scientific areas. Ensure that these directions are aligned with the practice strategy and client needs.
Minimum Qualifications:
- Bachelor's degree in computer science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and 10 years of experience OR a Master's degree and 8 years of experience.
- Experience in Information Retrieval including experience with Lucene, ElasticSearch or other full-text indexing tools
- Experience handling unstructured multilingual datasets
- In depth knowledge of cloud providers services (e.g., IBM, AWS, Azure and GCP) and experience working across environments and on premise.
- Strong experience working with Python or R programming languages.
- Experience in Machine Learning to include - Feature extraction statistical approaches, linear and non-linear classifiers, and deep learning.
- Experience performing and leading research in AI and/or data science.
Preferred Qualifications:
- Master's degree or PhD in a related field.
- Experience with analyzing and reporting diverse data. Knowledge of natural language processing techniques.
- Knowledge of cross-lingual information retrieval techniques. Knowledge of commercial Cloud services used by the Intelligence Community (IC).
- Excellent oral and written communication skills, including communicating information to a senior executive audience.
- Track record of relevant technical publications.
Clearance Requirements:
- No clearance to start but must have the ability to obtain and maintain a TS/SCI clearance
Physical Requirements:
- Must be able to be in a stationary position more than 50% of the time
- Must be able to communicate, converse, and exchange information with peers and senior personnel
- Constantly operates a computer and other office productivity machinery, such as a computer
- The person in this position frequently communicates with co-workers, management and clients, which may involve delivering presentations. Must be able to exchange accurate information in these situations
- The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
group id: RTX14564a
ManTech Corporate Capabilities
