ManTech - Herndon, VA

posted 5 months ago

Full-time - Senior
Hybrid - Herndon, VA
Professional, Scientific, and Technical Services

About the position

Become an integral part of a diverse team while working at an Industry Leading Organization, where our employees come first. At ManTech, you'll help protect our national security while working on innovative projects that offer opportunities for advancement. Currently, ManTech is seeking a motivated, career and client-oriented Distinguished Engineer in AI and data science to join our team in Herndon, VA. This is a Hybrid position. Responsibilities include but are not limited to researching and evaluating emerging AI, data science, and related technologies, such as Generative AI, technical tools and approaches for responsible and trustworthy AI, Quantum, Image Compression and Recall, and Self Supervised Learning. You will stay current on published state-of-the-art data science, AI, and analytics methods and applications and seek out opportunities to apply them against client use cases. You will develop statistical and advanced analytics models using advanced analytic techniques such as Natural Language Processing, Graph Analytics, Computer Vision, modeling and simulation, Operations Research, anomaly detection, data visualization and metrics creation. Additionally, you will direct and actively contribute to proof-of-concept studies and research prototypes, including creating prototypes to implement data models. Your role will involve performing knowledge elicitation from client business problems and understanding and converting that to derived algorithms, leading and guiding teams in this knowledge elicitation process. You will 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. You will identify AI challenges in non-AI projects to enhance the capabilities of data scientists by automating repetitive tasks, uncovering patterns, and providing advanced analytics and predictive modeling techniques. Furthermore, you will translate technical requirements to agile tasks to prioritize models and data according to the goals and requirements of the client. Your responsibilities will also include performing solution development through whiteboarding sessions - Algorithmic problems, data manipulation tasks, or other technical challenges related to data science. You will communicate findings to diverse technical and non-technical stakeholders, engaging clients to distill complex technical language into forms appropriate for the full spectrum of technical backgrounds, from end users through executive decision makers. You will lead and mentor entry-level, mid-level, and senior level practitioners of AI and data science, shaping Internal Research & Development (IRAD) directions in AI, data science, and related scientific areas, ensuring alignment with practice strategy and client needs. Lastly, you will represent ManTech's data and AI practice in the broader community through activities such as conference participation, formal or informal publications, and speaking at client events.

Responsibilities

  • Research and evaluate emerging AI, data science, and related technologies.
  • Stay current on published state-of-the-art data science, AI, and analytics methods and applications.
  • Develop statistical and advanced analytics models using advanced analytic techniques.
  • Direct and actively contribute to proof-of-concept studies and research prototypes.
  • Perform knowledge elicitation from client business problems and convert that to derived algorithms.
  • Apply design thinking or other solution-based methods to solve problems.
  • Identify AI challenges in non-AI projects to enhance the capabilities of data scientists.
  • Translate technical requirements to agile tasks to prioritize models and data.
  • Perform solution development through whiteboarding sessions.
  • Communicate findings to diverse technical and non-technical stakeholders.
  • Lead and mentor entry-level, mid-level, and senior level practitioners of AI and data science.
  • Shape Internal Research & Development (IRAD) directions in AI, data science, and related scientific areas.
  • Represent ManTech's data and AI practice in the broader community.

Requirements

  • Bachelor's degree in computer science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and 14 years of experience OR a Master's degree and 12 years of experience.
  • In depth knowledge with cloud providers (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 constructing and performing complex database search queries using Apache NiFi for data ETL, SQL for database management and pandas in Python for data processing.
  • Experience in Machine Learning to include - Feature extraction statistical approaches, linear and non-linear classifiers, and deep learning.
  • High level of competence in big data technology - Hadoop, Spark, etc.
  • Experience performing and leading research in AI and/or data science.
  • Significant creative and innovative problem solving, illustrated with new technical techniques or approaches, patents, or similar results.
  • Experience eliciting client needs and leading technical teams in developing solutions to fulfill those needs.
  • Ability to be a self-starter and take initiative.

Nice-to-haves

  • Master's degree or PhD in a related field.
  • Experience with analyzing and reporting diverse data.
  • Knowledge of natural language processing 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.
  • Recognition as a thought leader within a relevant field.
  • Experience leading teams of at least 10 people.
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