5+ years of experience in data science, machine learning, or a related role
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or related field (master's or PhD preferred)
Proven track record of leading successful data science projects
Active TS/SCI clearance required
Experience with SOF analytical support and digital capabilities preferred
Responsibilities
Lead the design, development, and deployment of complex machine learning models and statistical analyses
Build and enhance predictive models for customer behavior and demand forecasting
Conduct advanced exploratory data analysis to uncover actionable insights
Develop algorithms for classification, regression, clustering, NLP, and recommendation systems
Collaborate with cross-functional teams to define and translate data science objectives into projects
Mentor junior data scientists, providing technical guidance and promoting best practices
Ensure clean, accurate, and accessible data pipelines in collaboration with data engineers
Benefits
Opportunities for professional development and mentorship
Work in a collaborative environment with cross-functional teams
Access to innovative machine learning frameworks and techniques
Engagement with mission-critical data for national security
Flexible work arrangements may be available
Full Job Description
Requisition #: 1706
Job Title: Data Science & Analytics Technical Lead
Location: Tampa, FL
Clearance Level: Top Secret / SCI, Must Have Clearance to Start
Job Description
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.
Job Duties:
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.
Education and Background
Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (masters degree or PhD strongly preferred)., and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.
Years of Experience
5+ years
Required Skills
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 actionable insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.
Have active active TS/SCI clearance
Preferred Skills
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
