
Data Scientist
Posted 23 hours ago

Posted 23 hours ago
This is a fully remote position, open to applicants in United States.
• Identify, assess, and implement high-impact AI/ML use cases for financial management processes, analytics, and decision-making.
• Design, train, evaluate, and operationalize AI/ML models and advanced analytics solutions utilizing Databricks.
• Analyze and convert complex datasets from legacy enterprise systems.
• Tackle data quality and integration challenges to enable dependable analytics.
• Create predictive analytics, forecasting, anomaly detection, and automation solutions.
• Collaborate with functional stakeholders, data engineers, and technical teams.
• Transform business challenges into data-driven solutions.
• Assess emerging AI/ML techniques and tools against customer needs.
• Convey analytical findings, model outcomes, and recommendations through visualizations, dashboards, and presentations.
• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline.
• 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
• Strong practical experience with Databricks and the complete AI/ML lifecycle.
• Proficiency in Python, PySpark, SQL, and contemporary ML frameworks.
• Experience in developing, evaluating, and implementing AI/ML models or advanced analytical solutions.
• Experience in handling complex datasets, including data preparation, transformation, and quality assessment.
• Strong analytical and problem-solving skills with the ability to convert business requirements into technical solutions.
• Effective communication abilities and capacity to collaborate with both technical and non-technical stakeholders.
• Active Secret clearance or the ability and willingness to obtain one.
• U.S. citizenship is required to obtain the Secret clearance.
• Preferred: Experience in financial management within the Air Force or broader Department of War.
• Preferred: Experience utilizing AI/ML in financial management, including forecasting, anomaly detection, reconciliation, or process automation.
• Preferred: Familiarity with War Data Platform, Palantir Foundry/Envision, or other Department of War enterprise analytics environments.
• Preferred: Knowledge of MLOps, model monitoring, and cloud-based analytics environments.
• Market-competitive salary.
• Generous PTO package.
• Comprehensive medical insurance.
• Dental insurance.
• Vision insurance.
• Life insurance plans.
• 401K.
• Short-term disability insurance.
• Long-term disability insurance.
• Fun and engaging culture.
• Training opportunities to help you stay updated with the latest technologies.
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