Job Description
AI/ML Data Scientist
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Location: Washington, DC (Hybrid 2-3 days onsite weekly)
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Company: Big Impact Tech (BIT)
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Clearance Required: Active Secret
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About Big Impact Tech
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Big Impact Tech (BIT) is a Small Business providing IT and business management consulting to federal and commercial clients. We deliver mission-focused solutions in data, cloud, cybersecurity, and program management.
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Position Overview
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Big Impact Tech (BIT) is seeking an AI/ML Data Scientist to support the DOD customer's Office of Decision Advantage AI team. This position supports the DOD customer's Digital Transformation Strategy by developing, deploying, and scaling Artificial Intelligence (AI), Machine Learning (ML), advanced analytics, and data-driven automation solutions that improve mission effectiveness, operational efficiency, and enterprise decision-making.
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The AI/ML Data Scientist will work closely with business process analysts, automation engineers, enterprise architects, data engineers, mission stakeholders, and program leadership to identify high-value automation opportunities, develop predictive and prescriptive analytics solutions, support minimum viable product (MVP) pilots, and transition successful solutions into enterprise-scale capabilities.
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This role supports an enterprise automation program focused on accelerating innovation, workflow modernization, mission modeling, business process transformation, and data-driven decision support across the DOD customer.
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Primary Responsibilities
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AI/ML Solution Development
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• Design, develop, test, and deploy AI/ML solutions supporting DOD customer mission and business operations.
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• Build predictive, prescriptive, classification, anomaly detection, natural language processing (NLP), and generative AI solutions.
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• Develop machine learning models that improve operational decision-making, workforce productivity, and mission effectiveness.
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• Support development of AI-enabled minimum viable products (MVPs) and automation pilots.
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Data Science & Analytics
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• Conduct exploratory data analysis, statistical modeling, and advanced analytics using structured and unstructured data.
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• Identify trends, patterns, and operational insights to support DOD customer leadership decisions.
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• Develop dashboards, visualizations, performance metrics, and analytical products to support enterprise transformation initiatives.
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• Establish repeatable analytics methodologies and data science best practices.
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Data Engineering & Integration
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• Develop and optimize data pipelines supporting AI/ML initiatives.
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• Assist with database design, ETL processes, data cleansing, transformation, and reporting activities.
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• Design reusable and scalable data models and architectures.
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• Diagnose data quality issues and recommend corrective actions.
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• Support integration of data from multiple DOD customer systems and repositories.
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Automation & Digital Transformation
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• Support automation opportunity assessments, feasibility analyses, and pilot evaluations.
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• Collaborate with automation engineers to integrate AI/ML capabilities into workflow automation, RPA, ServiceNow, UiPath, Power Platform, Salesforce, and Appian solutions.
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• Participate in business process reengineering efforts and identify opportunities to automate manual processes through AI and advanced analytics.
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Mission Modeling & Decision Support
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• Support mission modeling and simulation initiatives that evaluate mission execution, staffing models, operational impacts, and technology alternatives.
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• Develop analytical models that assist with scenario planning, operational experimentation, and performance forecasting.
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• Provide recommendations to leadership based on model outputs and analytical findings.
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Agile Development & Collaboration
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• Participate in Agile planning, backlog refinement, sprint reviews, demonstrations, and release activities.
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• Collaborate with product owners, developers, business analysts, architects, and mission stakeholders to translate use cases into AI/ML solutions.
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• Support technical demonstrations, pilot evaluations, and user feedback sessions.
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Required Qualifications
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• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering, Information Systems, or related field.
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• 7+ years of experience in data science, machine learning, artificial intelligence, or advanced analytics.
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• Experience developing and deploying machine learning models in production environments.
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• Strong proficiency with:
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◦ Python
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◦ SQL
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◦ Machine Learning frameworks (Scikit-Learn, TensorFlow, PyTorch, Hugging Face, LangChain)
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• Experience performing:
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◦ Predictive analytics
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◦ Statistical analysis
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◦ Data mining
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◦ Model evaluation and validation
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• Experience working with large datasets and complex data environments.
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• Experience developing Generative AI and Large Language Model (LLM) solutions.
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• Experience with Retrieval Augmented Generation (RAG) architecture.
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• Experience with Databricks, Apache Spark, Hadoop, Kafka, Airflow, or AWS Glue.
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• Experience with cloud environments including AWS, Azure, or GovCloud.
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• Experience integrating AI/ML capabilities into:
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◦ UiPath
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◦ ServiceNow
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◦ Power Platform
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◦ Appian
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• Strong communication skills with experience briefing technical and non-technical stakeholders.
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• U.S. Citizenship required.
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• Active Secret clearance.
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Preferred Qualifications
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• Experience supporting DHS, DoD, or other Federal agencies.
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Desired Certifications
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• AWS Certified Machine Learning Engineer