Data Scientist

Archer; Fort Meade (MD); Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

Archer, in collaboration with MANTECH, seeks a Data Scientist in Fort Meade, MD to drive statistical analytics and cloud-based data solutions for national security objectives.

You will work with subject matter experts and customers to guide analytic development from prototype to production, delivering high-value data-driven insights while laying the groundwork for future ML integration into mission operations.

Formación

• 7+ years of experience in data science, data engineering, data analytics, or related technical role.
• Bachelor’s degree in a quantitative or technical field or 4 additional years of direct relevant experience.
• Experience with Python, R, SQL or similar data analysis tools.

Responsabilidades

• Execute and contribute technical expertise across multiple data science and analytic development efforts in a secure cloud environment.
• Collaborate with customers, analysts, and subject matter experts to align analytic requirements with mission goals.
• Prototype and transition data pipelines and analytic prototypes into scalable, operational environments.
• Apply statistical modeling, data analysis, and graph-based approaches to complex datasets, preparing workflows for future ML applications.
• Manage analytic tasks and deliver high-quality technical work to meet project objectives.

Conocimientos

Statistical analysis

Data analysis

Cloud computing

Educación

Bachelor's degree in quantitative or technical field

Herramientas

Python

R

SQL

Descripción del empleo

Archer is collaborating with MANTECH to connect them with exceptional professionals for this role. MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD, to drive cutting-edge statistical analytics and cloud-based data solutions for national security objectives. In this role, you will collaborate with subject matter experts and customers to guide analytic development from prototype to production, delivering high-value data-driven insights while laying the groundwork for the future integration of machine learning into mission operations.

Responsibilities Include But Are Not Limited To

• Executing and contributing technical expertise across multiple data science and analytic development efforts in a secure cloud environment.
• Collaborating with customers, intelligence analysts, and Subject Matter Experts to align analytic requirements with mission goals.
• Prototyping and transitioning data pipelines and advanced analytics into scalable, operational environments.
• Applying statistical modeling, data analysis, and graph-based approaches to complex datasets, preparing workflows for future machine learning applications.
• Managing individual analytic tasks and delivering high-quality technical work to meet project objectives.

Minimum Qualifications

• Bachelor’s degree in quantitative or technical field (e.g., statistics, mathematics, operations research, engineering, computer science, data science, physics, or related discipline) or 4 additional years of direct relevant experience in lieu of a degree.
• 7+ years of experience in a Data Scientist, Data Engineer, Data Analyst, or related technical role.
• 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar).

Preferred Qualifications

• Experience developing, deploying, and maintaining data workflows, pipelines, and analytic prototypes within secure cloud infrastructure.
• Practical knowledge of advanced statistical modeling and foundational machine learning techniques, with familiarity in containerization and modern Machine Learning Operations (MLOps) to support the team's evolving machine learning roadmap.

Clearance Requirements

• Active TS/SCI with Polygraph.

Physical Requirements

• Must be able to remain in a stationary position 50% of the time.
• Constantly operates a computer and other office productivity equipment.
• Frequently communicates with coworkers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.