Analytics & Data Science Lead

Archer; Florida; Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Archer, in collaboration with MANTECH, seeks an Analytics & Data Science Lead to join the team in Doral, FL. You will lead the design, development, and deployment of advanced models and visualization tools to solve complex operational challenges.

You will oversee data science projects from requirements to production, collaborate with cross-functional teams, and establish best practices for governance and reproducible workflows. Mentoring and process improvements are also part of the role.

Formación

• Bachelor's degree or higher with 7+ years in advanced analytics or data science roles.
• PhD with 3+ years or Master's with 5+ years, OR Associate with 9+ years experience.
• Proficiency in Python, R, SQL.
• Experience documenting analyses and presenting findings to executives.

Responsabilidades

• Lead design, development, and deployment of advanced statistical models and ML algorithms.
• Oversee data science projects across the full lifecycle including data extraction, feature engineering, model training, and monitoring.
• Collaborate with data engineers and stakeholders to translate insights into data-driven decisions.
• Establish data governance, model validation, and reproducible analytic workflows.
• Mentor team members and ensure delivery aligns with customer objectives.
• Drive process improvements, automated pipelines, and deployment of AI/ML models.

Conocimientos

Python

R

SQL

Data Visualization

Communication

Educación

Bachelor's degree in Data Science, CS, Stats, Math, or related

Herramientas

AWS

Azure

GCP

Docker

MLflow

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 Analytics & Data Science Lead to join our team in Doral, FL.

Responsibilities Include But Are Not Limited To

• Leading the design, development, and deployment of advanced statistical models, machine learning algorithms, and data visualization tools to solve complex operational challenges.
• Overseeing data science projects across the entire life cycle, including requirement gathering, data extraction, feature engineering, model training, and performance monitoring.
• Collaborating with cross-functional technical teams, data engineers, and stakeholders to translate complex data insights into strategic, data-driven decisions.
• Establishing best practices for data governance, model validation, and reproducible analytic workflows across all data environments.
• Managing individual analytic tasks and mentoring team members to ensure technical delivery aligns with customer objectives.
• Recommending and implementing process improvements, automated pipelines, and emerging data science technologies to enhance operational efficiency.

Minimum Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field with 7+ years of experience in advanced analytics or data science roles.
• OR a PhD and 3+ or more years of relevant experience
• OR a master's degree and 5+ or more years of relevant experience
• OR an associate's degree and 9+ or more years of relevant experience
• OR a high school diploma and 11+ or more years of relevant experience
• Demonstrated proficiency with standard data analysis tools, languages, and frameworks such as Python, R, and SQL.
• Experience creating, maintaining, and communicating complex technical documentation, analytical findings, and executive presentations to stakeholders.

Preferred Qualifications

• Master's degree or Ph.D. in Data Science, Applied Mathematics, Statistics, or a quantitative discipline.
• Prior experience supporting U.S. Military Command operations or Department of Defense enterprise data environments.
• Hands-on knowledge of cloud-based data platforms (AWS, Azure, GCP) and containerization technologies.
• Experience with MLOps frameworks, DevSecOps pipelines, and deploying AI/ML models into production environments.

Clearance Requirements

• Must hold a current/active Secret security clearance.

Physical Requirements

• Must be able to remain in a stationary position 50%.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.