Data Scientist

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. 

Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid.**

The Data Scientist will: 

• 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. 

Clearance Requirement 

Candidate must possess a Tier 2 Moderate Risk Public Trust (from any federal agency) or an active Secret clearance or higher. 

Education (Required) 

Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field. 

Experience (Required) 

• 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. 

Technical Knowledge (Required) 

• 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. 

Technical Knowledge (Preferred) 

• 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. 

Certifications 

Required: 

• ITIL v4 Foundation 

Preferred: 

• Data science, analytics, or ML certifications 

• AWS cloud or machine learning specialty certifications 

Skills 

• 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. 

• EEO and Affirmative Action Policy: DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws.
• Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation 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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
• Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.