Today
Top Secret
Unspecified
Unspecified
IT - Data Science
Ashburn, VA (On-Site/Office)
ManTech seeks motivated, career- and customer-oriented Subject Matter Expert Data Scientist to join our team in Ashburn, VA.
Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel.
Responsibilities include but are not limited to:
Minimum Qualifications
Preferred Qualifications:
Clearance Requirements:
Physical Requirements:
Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel.
Responsibilities include but are not limited to:
- Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities.
- Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations to project schedules and outcomes.
- Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets within an identified problem space to build predictive models as well as develop appropriate supporting documentation.
- Leverage knowledge of a variety of statistical and machine learning techniques to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions.
- Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results.
- Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.
- Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting.
Minimum Qualifications
- HS Diploma/GED and 20+ years, AS/AA and 18+ years, BS/BA and 12+ years, MS/MA/MBA and 9+ years, PhD/Doctorate and 7+ years
- Advanced Knowledge in Machine Learning - Expertise in supervised, unsupervised, and reinforcement learning techniques, with hands on experience building and optimizing machine learning models.
- Generative AI Proficiency - Deep understanding of generative AI models (e.g. GANs, transformers) and experience developing or fine-tuning large language models (LLMs) like GPT or similar architectures
- AI Model Deployment - Proven ability to operationalize AI/ML models at scale using frameworks such as TensorFlow, PyTorch and deploy them on cloud platforms like AWS SageMaker or Google Vertex AI
- Programming and Algorithm Development - Strong programming skills in Python, R, Java, SQL, or Apache Spark with a focus on designing efficient algorithms for AI/ML applications. Skilled in data extraction, exploratory data analysis (EDA) and query construction for model development
- Natural Language Processing (NLP) - Expertise in NLP techniques such as sentiment analysis, text summarization, entity recognition, and conversational AI using advanced transformer-based models (e.g. BERT, GPT)
- AI Ethics and Responsible AI - Familiarity with ethical considerations in AI development, including bias mitigation, transparency, fairness, and compliance with industry standards
Preferred Qualifications:
- Experience/Proficiency in conducting development and integration activities to deploy, assess and update Machine Learning models into applications for end-user use and evaluation.
- Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.
- Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.
- Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)
- Master's Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience
Clearance Requirements:
- Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this position.
- Must be able to obtain and maintain a TS clearance
Physical Requirements:
- Must be able to remain in a stationary position approximately 50% of the time
group id: RTX14564a
ManTech Corporate Capabilities
