Data Scientist / Gov and Defense Analytics /

An innovative technology organization specializing in large-scale data and machine learning systems is seeking a Data Scientist to join its growing analytics and modeling team. This role sits at the intersection of data analytics, applied machine learning, and product development-focused on turning high-dimensional sensor data into actionable insights and improving the performance of edge-deployed models.

Because this team supports government and military clients, U.S. citizenship is required for consideration.

This is a fulltime, fully remote role, offering an opportunity to contribute to a mission-driven team that values experimentation, data integrity, and end-to-end ownership. Required Skills & Experience

• U.S. citizenship required due to the nature of government and defense-related projects.
• 3-5 years of experience in applied data science, analytics engineering, or machine learning, with proven ability to translate raw data into production-ready insights or tools.
• Proficiency in Python and common data science libraries such as pandas, numpy, scikit-learn, matplotlib/seaborn, and SQL.
• Experience working with time-series, geospatial, or sensor data in production or research environments.
• Strong grasp of statistical modeling techniques including clustering, regression, and anomaly detection.
• Excellent communication skills, with the ability to explain complex findings to technical and non-technical stakeholders.
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field, or equivalent hands-on experience.

Desired Skills & Experience

• Experience with ML operations concepts such as dataset versioning, data labeling workflows, and model monitoring.
• Background supporting or analyzing ML systems at the edge, or within aerospace, automotive, or defense domains.
• Comfort developing data pipelines, dashboards, or internal analytics tools that improve visibility and model feedback loops.
• A curious, experimental mindset with interest in leveraging AI/ML techniques to optimize real-world systems and operational intelligence.
• Experience working in fast-paced, interdisciplinary teams involving both product and engineering functions.

What You Will Be Doing Tech Breakdown: 60% data analysis, model evaluation, and pipeline development & 40% cross-functional collaboration, visualization, and production integration
Daily Responsibilities: Analyze structured and unstructured data from distributed field systems to identify trends, outliers, and performance gaps. Develop scalable analytics workflows to support dashboards, reporting, and customer-facing intelligence products. Collaborate with modeling teams to design feedback mechanisms that drive continuous learning and model retraining. Contribute to the design of metrics that evaluate perception and detection model performance over time. Build internal tools for data visualization, metric tracking, and experimentation. Ensure data quality through validation, schema enforcement, and anomaly detection processes. The Offer You will receive the following benefits:

• Medical, dental, and vision coverage options
• Competitive salary
• Flexible work hours and the option for remote work.
• Opportunities for professional development and continued education.

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