MANTECH is seeking a motivated, career and customer-oriented Lead Data Scientist to join our Data and AI Practice onsite in Alexandria, VA. In this role, you will assist in the design, development, and implementation of data science capabilities to achieve client mission goals. You will collaborate with a team of consultants, data engineers, software engineers and data scientists to leverage AI, data science, data analytics, and data architecture to deliver client solutions. The ideal candidate will have solid data science skills, a firm understanding of data architecture, and client-oriented approach to applying technology to complex problems.
Responsibilities Include but are not limited to:
- Develop models and solutions applied to problem sets in a broad range of data science areas, including but not limited to natural language processing, graph analytics, computer vision, anomaly detection, geo-spatial analysis, and data visualization.
- Contribute data science expertise to solution development through whiteboarding sessions with clients, partners, and coworkers.
- Design and implement robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.
- Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems.
- Work closely with data engineers, analysts, and other stakeholders to understand data requirements to facilitate analytics.
- Architect data pipelines and data storage solutions to support analytic and data science workflows.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- At least 10 years of experience in data science, data architecture, or related roles.
- In depth knowledge of Data Science and AI offerings from one or more cloud providers (e.g., AWS, Oracle, IBM, Azure and GCP).
- Experience with data warehousing, data lakes, and big data technologies
- Proficiency in programming languages such as Python, Java, or SQL
- Experience with SQL and NoSQL databases
Preferred Qualifications:
- Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Experience with the full life cycle of development and deployment for a variety of types of Machine Learning models.
- Deep expertise in one or more data science specialties, such as natural language processing, computer vision, or deep learning. Knowledge of big data technologies like Hadoop, Spark, and Kafka.
- Experience with analyzing and reporting on diverse data. Familiarity with data security and compliance frameworks (e.g., NIST framework). Cloud certifications such as AWS Certified Developer, Oracle Cloud Infrastructure.
- Experience with agile development methodologies. Knowledge of data governance and metadata management. Familiarity with records management standards (e.g., NARA standards).
Clearance Requirements:
- Must possess a current and active TS/SCI with polygraph
Physical Requirements:
- Must be able to be in a stationary position more than 50% of the time
- 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 customers, 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.