DecisionPoint seeks to develop advanced analytics, machine learning models, and predictive capabilities to support operational visibility and decision-making across a large federal and DoD-aligned mission environment.
Requirements
- Proficiency with Python, R, or similar languages used for statistics and machine learning.
- Strong understanding of ML algorithms, feature engineering, and model evaluation.
- Experience with SQL and data transformation pipelines.
- Familiarity with visualization tools such as Power BI, Tableau, or similar platforms.
- Experience operating in cloud environments (AWS preferred).
- Familiarity with DevSecOps, automation, or CI/CD analytics integration.
- Experience with distributed computing or big data analytics frameworks.
Responsibilities
- Build machine learning models for anomaly detection, performance forecasting, trend prediction, and automated root-cause analysis.
- Analyze operational, engineering, and IT data from diverse mission systems to identify patterns and optimization opportunities.
- Develop predictive models supporting uptime forecasting, incident prediction, and performance thresholds.
- Conduct statistical analysis, A/B testing, and experimental design to validate hypotheses and model outputs.
- Work closely with the Dashboard COE to integrate ML-driven insights into executive-facing dashboards.
- Develop data pipelines, transformations, and preprocessing workflows needed for ML/analytics models.
- Collaborate with SMEs and system owners to understand domain data, context, and mission-critical indicators.
Other
- Candidate must possess a Tier 2 Moderate Risk Public Trust (from any federal agency) or an active Secret clearance or higher.
- Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field.
- Minimum 7 years of experience performing data science, advanced analytics, or machine learning.
- Strong analytical and mathematical reasoning skills.
- Ability to translate complex findings into concise dashboards or executive summaries.
