Remote Data Scientist - ML for Mission Analytics

DecisionPoint Corporation; Reston (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

DecisionPoint Corporation is seeking a Data Scientist to develop advanced analytics, ML models, and predictive capabilities for operational visibility and decision-making in a large federal/DoD-aligned mission environment. You will analyze diverse datasets across mission systems and collaborate with the dashboard team and PMO leadership to validate models and deliver insights for enterprise dashboards.

The role emphasizes anomaly detection, uptime forecasting, and experimental validation, with a

Qualifications

• Clearance: active Secret clearance or higher.
• Bachelor's degree in Data Science, Computer Science, AI/ML, Statistics, or related field.
• Minimum 5 years of experience in data science, advanced analytics, or ML.
• Experience applying ML techniques: classification, anomaly detection, regression, clustering, or time-series forecasting.
• Experience designing experiments, statistical analyses, and validating model performance.
• Experience with operational, engineering, or IT datasets and translating findings into insights.
• Experience collaborating with dashboard teams or integrating outputs into BI platforms.
• Proficiency with Python, R, or similar languages for statistics and ML.
• Strong ML understanding: feature engineering and model evaluation.
• Experience with SQL and data transformation pipelines.
• Familiarity with Power BI, Tableau, or similar visualization tools.
• Preferred: AWS cloud or ML certifications; DevSecOps/CI-CD analytics integration; distributed computing/big data frameworks.
• ITIL v4 Foundation certification required; additional DS/ML certifications preferred.

Responsibilities

• Build ML models for anomaly detection, performance forecasting, and root-cause analysis.
• Analyze data from diverse mission systems to identify patterns and optimization opportunities.
• Develop predictive models for uptime forecasting, incident prediction, and performance thresholds.
• Conduct statistical analysis, A/B testing, and experimental design to validate hypotheses.
• Collaborate with the Dashboard COE to integrate ML insights into executive dashboards.
• Develop data pipelines, transformations, and preprocessing for ML/analytics models.
• Work with SMEs and system owners to understand domain data and indicators.
• Produce data stories, visualizations, explanations, and methodological documentation.
• Recommend improvements to monitoring tools, data collection, and KPIs.
• Ensure outputs align with federal/DoD data governance and security requirements.

Skills

Python

R

SQL

Power BI

Tableau

ML algorithms

Education

Bachelor's degree in Data Science/CS/AI/ML/Statistics

Tools

AWS

Job description

DecisionPoint Corporation is seeking a Data Scientist to develop advanced analytics, ML models, and predictive capabilities for operational visibility and decision-making in a large federal/DoD-aligned mission environment. You will analyze diverse datasets across mission systems and collaborate with the dashboard team and PMO leadership to validate models and deliver insights for enterprise dashboards.

The role emphasizes anomaly detection, uptime forecasting, and experimental validation, with a