Data Science & Analytics Technical Lead

Agile Defense•Tampa, FL

1d•Onsite

About The Position

Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems. Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas. Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources. Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems. Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects. Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable. Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness. Evaluate and apply cutting-edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation. Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning. Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models.

Requirements

Have active active TS/SCI clearance
The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionalble insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.

Nice To Haves

Five years of experience working in SOF analytical support
Three years experience centrally managing distributed data support teams in SOF organizations HQ echelon
Three years experience with SOF digital capabilities
Three years experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Command

Responsibilities

Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems.
Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas.
Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources.
Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems.
Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects.
Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable.
Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness.
Evaluate and apply cutting-edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation.
Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning.
Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models.