Data Scientist/Machine Learning Engineer

Overview

Praescient Analytics is seeking a highly motivated Data Scientist/Machine Learning Engineer to support our Department of Defense (DoD) and national security partners. The ideal candidate will have a strong background in data science, machine learning, and software engineering, with the ability to design and implement cutting-edge solutions that transform complex datasets into actionable insights. This role requires both analytical acumen and technical creativity to solve real-world intelligence and defense challenges through the power of AI.

Responsibilities

• Design, develop, and implement machine learning systems and predictive models to support mission-driven analytics.
• Study and refine data science prototypes, transforming them into production-ready ML solutions.
• Develop and optimize algorithms using supervised, unsupervised, and deep learning techniques.
• Select appropriate datasets, data representation methods, and feature engineering strategies for each problem space.
• Conduct data mining, statistical analysis, and model evaluation to ensure high performance and reliability.
• Perform testing, tuning, and retraining of models to improve predictive accuracy and robustness over time.
• Utilize data-oriented programming languages and visualization tools to translate raw data into meaningful insights.
• Visualize and interpret data findings through dynamic dashboards, reports, and analytic visualizations.
• Collaborate with cross-functional technical teams and mission stakeholders to integrate AI/ML solutions into operational systems.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
• 5+ years of experience developing and deploying AI/ML models or data-driven applications.
• Proficiency in Python, R, or similar data-oriented programming languages.
• Experience with machine learning frameworks (eg, TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of data preprocessing, feature selection, and model evaluation techniques.
• Experience with data visualization tools such as Power BI, Tableau, or custom dashboards.
• Ability to manage and analyze large structured and unstructured datasets.
• Excellent problem-solving skills and attention to detail.

Desired Qualifications

• Master's degree in a quantitative or technical field.
• Experience supporting DoD, IC, or Federal programs.
• Familiarity with natural language processing (NLP), deep learning, or reinforcement learning techniques.
• Experience developing automated pipelines for ML model training and deployment.
• Understanding of cloud-based ML environments (AWS, Azure, GCP).

What you can expect from us

• Real opportunity for career growth in an environment where your achievements will be celebrated.
• Constant collaboration with numerous teams to ensure client success.
• A team that respects and embraces your ideas and expertise.
• Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain.
• A workplace dedicated to supporting and improving public safety and government agencies.

Benefits

• Very competitive salary based on qualifications and experience.
• Comprehensive, Company-paid Aetna Health Care Medical for you (We pay your premiums and deductibles).
• 401(k) with company match.
• Travel & performance incentives.
• 3 weeks paid time off (plus Federal Holidays).
• $5K annual training allowance.
• $500 book allowance.
• Tuition reimbursement program.

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship required.