Everfroth ECS is seeking a Data Scientist Lead to join our team in Tampa, FL.
The successful candidate will be a senior subject matter expert in data science, leading a team of data professionals to enhance the command's data-driven decision-making capabilities. This role requires a demonstratable history of designing, developing, and operationalizing advanced analytical solutions within Military, Federal, or Intelligence organizations.
The Data Scientist Lead will provide oversight for the Data Management team and drive the implementation of strategic initiatives in data engineering, data science, and Artificial Intelligence/Machine Learning (AI/ML). You will be responsible for translating mission needs into high-impact technical solutions, from data ingestion and model development to the deployment of full-stack AI-driven capabilities that directly support military operations.
Key Responsibilities:
- Provide comprehensive leadership and oversight for the data engineering, analytics, and predictive analytics team, ensuring all services align with strategic operational objectives.
- Lead the development and implementation of advanced analytics, statistical model development, data governance, and the integration of innovative technologies to inform operational decisions.
- Apply advanced machine learning and AI techniques, including unsupervised, supervised, reinforcement learning, and generative AI (e.g., Large Language Models, multi-modal AI), to identify patterns and generate mission-critical insights.
- Oversee the development, deployment, and maintenance of high-quality, fault-tolerant data pipelines to clean, tag, and ingest structured and unstructured data into data lakes and lakehouses.
- Direct the data science lifecycle, from exploration and algorithm development to statistical validation and solution operationalization, ensuring deployed capabilities meet mission requirements.
- Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data Officer (XDO), and participate in relevant forums to interpret mission needs and define operational data requirements.
- Serve as the senior technical advisor for the team, guiding the use of query languages (SQL), programming languages (Python, R), and analytics platforms to enable data-driven decisions.
- Translate highly technical information and findings into clear, actionable insights for a broad, non-technical operational audience and senior leadership.
- Manage and prioritize multiple projects and tasks simultaneously in a dynamic, fast-paced work environment.
- Must be a U.S. Citizen
- Active Top Secret clearance and SCI eligibility.
- BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related field.
- More than 10 years of relevant work experience, with significant experience leading data science or analytics teams.
- Demonstrated experience capturing, implementing, and managing data science requirements for senior Military, Federal Government, or Intelligence Community stakeholders.
- Proven expertise in applying advanced AI/ML techniques and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to solve complex problems.
- Highly proficient in Python and/or R for data engineering, automation, and model development.
- Experience with data engineering concepts, including building and maintaining data pipelines (ETL/ELT), data warehousing, and data lake/lakehouse architectures.
- Familiarity with data visualization and analytics platforms such as Power BI, Tableau, Qlik, or Palantir Foundry / Maven Smart System (MSS).
- Experience with data storage and processing tools (e.g., Apache Spark, Databricks, Hadoop) and databases (e.g., TSQL, MySQL, Oracle, PostgreSQL).
- Excellent written and verbal communication skills, with experience briefing senior leaders.
- Must be available for occasional travel to domestic and international locations.
Skills Required
- BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or related field
- More than 10 years of relevant work experience
- Active Top Secret clearance and SCI eligibility
- Proven expertise in applying advanced AI/ML techniques
- Highly proficient in Python and/or R for data engineering
- Experience with data engineering concepts, including building and maintaining data pipelines
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
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