ManTech · 3 days ago

Data Scientist

Herndon, VA

Full-time

Hybrid

Senior Level

8+ years exp

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Responsibilities

Design and perform experiments to evaluate aspects of emerging and fast-changing data science and related technologies, such as generative AI, quantum, and explainable AI techniques.

Stay current on published state-of-the-art data science and analytics methods and applications. Design and perform benchmarking evaluations and applied research to address new problem sets. Seek out opportunities to apply new and emerging techniques against client use cases.

Develop solution accelerators, prototypes, proofs-of-concept, and methods for use in client engagements.

Develop statistical and advanced analytics models using advanced analytic techniques.

Develop models and solutions for problem sets in a broad range of data science areas, including but not limited to natural language processing, graph analytics, computer vision, anomaly detection, data visualization, and metrics creation.

Apply design thinking or other solution-based methods to solve problems consisting of various qualitative activities that support the generation of insightful, human-centered and impactful design solutions.

Perform knowledge elicitation from client of business problem details and incorporate that knowledge into algorithms, models, and approaches in client solutions.

Identify AI and data science challenges in non-AI projects to enhance the projects’ capabilities.

Translate data science related technical requirements to agile tasks prioritized according to the goals and requirements of the client.

Perform solution development through whiteboarding sessions with clients, partners, and coworkers.

Contribute to solutions with algorithms, models, data manipulation tasks, or other technical challenges related to data science.

Communicate findings to diverse technical and non-technical stakeholders and engage client to distill complex technical language.

Qualification

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Cloud ProvidersPythonR ProgrammingDatabase Search QueriesMachine Learning ModelsProblem-SolvingCommunicationData AnalysisNatural Language ProcessingComputer VisionDeep LearningInitiative

Required

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 or equivalent experience

In depth knowledge with one or more cloud providers (e.g., AWS, Oracle, IBM, Azure and GCP) and experience working across environments and on premise

Strong experience working with Python or R programming languages

Experience constructing and performing complex database search queries

Experience in the full life cycle of developing a variety of types of Machine Learning models

Strong oral and written communication skills, including client-facing discussions and presentations