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Predictive Analytics Specialist

2 months ago

Sterling Heights, Michigan, United States ManTech Full time

Enhance National Security Through Data Science

U.S. Customs and Border Protection (CBP) plays a crucial role in managing the extensive flow of individuals, capital, and goods entering and leaving the United States across various domains. The intricate nature of both physical and digital border crossings necessitates innovative solutions to facilitate effective trade and travel. Moreover, robust solutions enable CBP to ensure that the movement of individuals, capital, and goods is lawful, secure, and safe.

In light of this challenge, ManTech, a reliable partner of CBP, is on the lookout for skilled, adaptable, and qualified Data Scientists to spearhead the creation and implementation of high-caliber predictive modeling solutions. Successful candidates will be recognized as subject matter experts in utilizing quantitative methods, machine learning techniques, and predictive analytics to tackle complex national and homeland security issues. They will assist our team in harnessing extensive structured and unstructured datasets to formulate and operationalize models, tools, and applications that enhance decision-making processes. Responsibilities include data gathering, mining, analytics, clustering analysis, pattern identification and extraction, automated classification, and entity resolution to improve automated risk assessment. The solutions we develop provide actionable insights with immediate implications for the safety and security of the United States, its citizens, visitors, and economy. This role may offer a flexible work schedule based on customer discretion.

The ideal candidates will possess several years of experience in fast-paced, risk-oriented environments. They will have a proven history of delivering production-ready decision support tools and applications utilized in the field and by mission-support organizations. Furthermore, highly competitive candidates will demonstrate the ability to: collaborate closely with mission stakeholders; adapt to urgent, mission-driven changes in priorities and outcomes; and apply innovative tools and techniques. Within three to six months of joining the project, Data Scientists will be expected to:

  • Conduct hands-on analysis and modeling, including the formulation of intervention hypotheses and experiments, assessment of data requirements and available sources, selection of optimal analytical methods, exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).
  • Work with mission stakeholders to define, frame, and scope mission challenges where big data interventions may provide significant mitigations, and develop comprehensive project plans with key milestones, detailed deliverables, effective work tracking protocols, and risk mitigation strategies.
  • Exhibit proficiency in extracting, cleaning, and transforming CBP transactional and mission data related to identified problem areas to build predictive models and create relevant supporting documentation.
  • Utilize knowledge of various statistical and machine learning techniques to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
  • Execute projects aimed at identifying 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.
  • Present 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 and in-person reporting.

Required Qualifications

  • Experience in developing machine learning models and applying advanced analytics solutions to resolve complex business challenges.
  • Proficiency in programming languages such as R, Python, Scala, and Java.
  • Strong SQL programming skills.
  • Experience in constructing and executing queries to extract data for exploratory data analysis and model development.
  • Familiarity with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent.
  • Experience in pattern recognition and extraction, automated classification, and categorization.
  • Experience with entity resolution techniques (e.g., record linking, named-entity matching, deduplication/disambiguation).
  • Knowledge of unsupervised and supervised machine learning techniques.
  • Experience in data mining, analysis, and training set construction.

Desired Qualifications

  • Proficiency in Unsupervised Machine Learning methods, including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.
  • Proficiency in Supervised Machine Learning methods, including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.
  • 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.

Education:

  • HS Diploma/GED and 15+ years
    AS/AA and 13-18 years
    BS/BA and 7-12 years
    MS/MA/MBA and 5-9 years
    PhD/Doctorate and 3-7 years

Certification:

  • None

Clearance:

  • Selected applicants must be U.S. Citizens and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability.

Physical Requirements:

  • Must be able to remain in a stationary position 50% of the time.
  • Occasional movement within the office to access file cabinets, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
  • Frequent communication with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license. The applicant will be required to answer certain questions for export control purposes, and that information will be reviewed by compliance personnel to ensure compliance with federal law. ManTech may choose not to apply for a license for such individuals whose access to export-controlled technology or software source code may require authorization and may decline to proceed with an applicant on that basis alone.

ManTech International Corporation, as well as its subsidiaries, proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.

If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled, and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services.

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