Data Scientist

DecisionPoint | Cortek • ,

16d • Remote

About The Position

DecisionPoint seeks a Data Scientist to develop advanced analytics, machine learning models, and predictive capabilities that support operational visibility and decision-making across a large federal and DoD-aligned mission environment. This role analyzes operational, engineering, and IT datasets to build anomaly detection models, performance forecasting algorithms, predictive insights, and automated root-cause detection workflows. The Data Scientist collaborates closely with the dashboard team, operations and engineering teams (O&E), developers, and PMO leadership to design experiments, validate models, and produce meaningful insights that feed enterprise dashboards and drive optimization opportunities. This position is fully remote.

Requirements

• 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.
• Experience applying ML techniques such as classification, anomaly detection, regression, clustering, or time-series forecasting.
• Experience designing experiments, running statistical analyses, and validating model performance.
• Experience working with operational, engineering, or IT datasets and translating findings into actionable insights.
• Experience collaborating with dashboard teams or integrating analytical outputs into BI platforms.
• 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.
• ITIL v4 Foundation certification.
• Strong analytical and mathematical reasoning skills.
• Ability to translate complex findings into concise dashboards or executive summaries.
• Excellent problem-solving and model debugging skills.
• Strong communication and collaboration skills across technical and business teams.
• High attention to detail and commitment to model accuracy and data validity.

Nice To Haves

• 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.
• Data science, analytics, or ML certifications.
• AWS cloud or machine learning specialty certifications.

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.
• Produce data stories, visualizations, narrative explanations, and technical documentation of analytical methods.
• Recommend improvements to monitoring tools, data collection practices, and performance KPIs.
• Ensure all analytic outputs align with federal, DoD, and program data governance and security requirements.

Benefits

• Equal Employment Opportunity and Affirmative Action employer
• Will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior