Lead Data Science & Analytics Architect

Archer; Florida; On-site; USD 140,000 - 190,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

R

SQL

Data Visualization

Communication

Education

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

Tools

AWS

Azure

GCP

Docker

MLflow

Job description

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.