Data Scientist

"Secure our Nation, Ignite your Future" Data Scientist Overview 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. Effective solutions aid CBP to ensure that the movement of people, capital, and products is legal, safe, and secure. ManTech, a trusted mission partner of CBP, seeks capable, qualified, and versatile data analysts to help lead the development and delivery of high-quality predictive modeling solutions. Within three to six months of joining the project, data analysts will be expected 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, detailed deliverables, robust work tracking protocols, and risk mitigation strategies. - Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated 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 and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. - 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. Qualifications Education: - HS Diploma/GED with 6-15 years of experience - AS/AA with 4-13 years of experience - BS/BA with 2-7 years of experience - MS/MA/MBA with 0-5 years of experience - PhD/Doctorate with 0-3 years of experience Required Qualifications: - 2-7 years of relevant experience - Experience in applying advanced analytics solutions to solve complex business problems - Experience with programming languages including: R, Python, JavaScript, Visual Basic - Experience creating VBA applications and macros to structure, manage, and wrangle key datasets - Experience with core data science libraries such as Pandas, NumPy, Matplotlib, Plotly - Familiarity with Anaconda distribution of Python for package management and deployment - Familiarity with command-line shell programming (Powershell, cmd) - Proficiency with SQL programming - Familiarity with RESTful APIs, web scraping, and processing unstructured data - Knowledge of visualization and presentation techniques including Tableau, Power BI, Jupyter Notebooks - Familiarity with software organization tools and frameworks (Docker, virtual environments) - Experience with unsupervised and supervised machine learning techniques and methods - Experience working with large-scale (terabyte and petabyte) unstructured and structured data sets and databases - Experience performing data mining, analysis, and training set construction - Active Top Secret clearance Desired Qualifications: - Knowledge of cloud technologies such as AWS or Google - Proficiency using git for version control, collaboration, and code review - Experience with engineering and development collaboration tools such as Jira and Confluence - Experience with Natural Language Processing (NLP), computational linguistics, Entity extraction, named entity recognition (NER), name matching, disambiguation - Experience constructing and executing queries to extract data in support of EDA and model development - Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation - Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks - Experience with pattern recognition and extraction, automated classification, and categorization - Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/disambiguation) - 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 Clearance: - Selected applicants must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability. In addition, selected applicants must be able to obtain a TS/SCI. Certifications: - N/A Physical: - Office work, typically sedentary with some movement around the office. The projected compensation range for this position is $71,400-$119,000. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. ManTech invests in its employees beyond just compensation. ManTech’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. 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