ClearanceJobs
Senior Data Scientist
ManTech seeks a motivated, career- and customer-oriented Senior Data Scientist to join our innovative team in Washington, DC. This role involves working with U.S. Immigration and Customs Enforcement (ICE) to enforce federal laws governing border control, customs, trade, and immigration. The mission focuses on preserving national security and public safety through criminal investigations and immigration law enforcement. Responsibilities include but are not limited to: Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation. Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones. Demonstrate proficiency in extracting, cleaning, and transforming ICE transactional and mission data associated within an identified problem space to build predictive models. Leverage knowledge of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models. Participate in 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. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle. Minimum Qualifications: Bachelor's degree in mathematics, statistics, computer science/engineering, or other related technical fields. 7+ years of experience developing and applying machine learning models and advanced analytics to solve complex business problems. 2+ years of experience leading a team. 1+ years of recent experience supporting ICE or Law Enforcement programs. Strong foundation in mathematics, statistics, and computer science. Expertise in R, Python, Scala, Java, and SQL for programming and data extraction. Proficient in statistical software packages like SAS, SPSS Modeler, and R. Extensive experience with supervised and unsupervised machine learning techniques. Preferred Qualifications: Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI). 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. Experience constructing and executing queries to extract data in support of EDA and model development. Experience with pattern recognition and extraction, automated classification, and categorization. Experience with entity resolution (e.g., record linking, named entity matching, deduplication/disambiguation). Experience performing data mining, analysis, and training set construction. Experience 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 unsupervised machine learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Clearance Requirements: Must have and active Top Secret with the ability to obtain TS/SCI; must have an active ICE BI. Physical Requirements: The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.
ManTech seeks a motivated, career- and customer-oriented Senior Data Scientist to join our innovative team in Washington, DC. This role involves working with U.S. Immigration and Customs Enforcement (ICE) to enforce federal laws governing border control, customs, trade, and immigration. The mission focuses on preserving national security and public safety through criminal investigations and immigration law enforcement. Responsibilities include but are not limited to: Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation. Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones. Demonstrate proficiency in extracting, cleaning, and transforming ICE transactional and mission data associated within an identified problem space to build predictive models. Leverage knowledge of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models. Participate in 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. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/project lifecycle. Minimum Qualifications: Bachelor's degree in mathematics, statistics, computer science/engineering, or other related technical fields. 7+ years of experience developing and applying machine learning models and advanced analytics to solve complex business problems. 2+ years of experience leading a team. 1+ years of recent experience supporting ICE or Law Enforcement programs. Strong foundation in mathematics, statistics, and computer science. Expertise in R, Python, Scala, Java, and SQL for programming and data extraction. Proficient in statistical software packages like SAS, SPSS Modeler, and R. Extensive experience with supervised and unsupervised machine learning techniques. Preferred Qualifications: Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI). 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. Experience constructing and executing queries to extract data in support of EDA and model development. Experience with pattern recognition and extraction, automated classification, and categorization. Experience with entity resolution (e.g., record linking, named entity matching, deduplication/disambiguation). Experience performing data mining, analysis, and training set construction. Experience 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 unsupervised machine learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Clearance Requirements: Must have and active Top Secret with the ability to obtain TS/SCI; must have an active ICE BI. Physical Requirements: The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.