Data Scientist Lead

BlueWater Federal Solutions
Tampa, FL, United States
26 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Algorithm Design Amazon Web Services Business Analytics Applications Data Analysis ArcGIS (Software) Microsoft Azure Databases Information Engineering Data Governance Extract Transform Load (ETL) Data Systems
+35 more
Data Visualization Data Warehousing Query Languages Fault Tolerance Apache Hadoop Python (Programming Language) PostgreSQL Machine Learning Apache Maven MySQL Operational Data Store Oracle (Applications) Power BI Tensorflow SQL Databases Tableau (Software) Transact-SQL Unstructured Data Reinforcement Learning Google Cloud Data Storage Technologies Data Ingestion Pytorch Large Language Models Apache Spark Deep Learning Data Lakes Scikit Learn Information Technology Data Analytics Qlikview Data Management Data Pipelines Databricks Programming Languages

Job description

BlueWater Federal is seeking a Data Scientist Lead to support the USCENTCOM Operations Directorate (J3).

As the Data Scientist Lead, you 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, * 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.

Requirements

  • BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related field.
  • 10+ years of relevant work experience, with significant experience leading data science or analytics teams.
  • Must have an Active Top Secret clearance and SCI eligibility.
  • 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).
  • Must be available for occasional travel to domestic and international locations.
  • Experience implementing data solutions on cloud platforms (e.g., Azure, AWS, Google Cloud) and experience with ESRI ArcGIS technologies is desired

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