Product Architect (Data Scientist)

CACI International-posted 3 months ago
$120,800 - $265,800/Yr
Full-time • Senior
Sterling, VA
5,001-10,000 employees
Professional, Scientific, and Technical Services
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CACI is currently looking for a motivated, career and customer-oriented SME level Data Scientist and Product Architect with Agile methodology experience to join our Customs and Border Protection (CBP) Land Border Integration (LBI) Integrated Traveler Initiative 2.1 (ITI2.1) team in Northern Virginia! Join this passionate team of industry-leading individuals supporting the best practices in Agile Software Development and hardware integration for the Department of Homeland Security (DHS). As a member of the ITI2.1 Team, you will support the men and women charged with safeguarding the American people and enhancing the Nation's safety, security, and prosperity. CBP Officers and Border Patrol agents are on the front lines, every day, protecting our national security by combining customs, immigration, border security, and agricultural protection into one coordinated and supportive activity. CACI agile programs thrive in a culture of innovation and are constantly seeking individuals who can bring creative ideas to solve complex problems, both technical and procedural at the team and portfolio levels. The ability to be adaptable and to work constructively with a technically diverse and geographically separated team is crucial.

  • Manage and use data to design data-driven predictive maintenance model, infer and recommend business decision, and conduct root cause analysis.
  • Support IoT device signal analytics and trend analysis for ITI2.1 requirement.
  • Develop an understanding of the customer's data environment through data profiling and statistical analyses.
  • Execute complex SQL queries.
  • Design and develop complex large scale OLTP systems.
  • Obtain, scrub, explore, model and interpret data currently stored in Oracle various types of databases using SQL and other data mining tools.
  • Perform statistical analysis and tune using test results.
  • Study appropriate datasets and transform data science prototypes.
  • Research and implement appropriate machine learning algorithms and tools and develop machine learning applications according to requirements.
  • Train data-driven learning model.
  • Maintain and work with data pipeline that transfers and processes large scale of heterogeneous structural/non-structural data using Spark, Scala, Python, Apache Kafka, TensorFlow, PyTorch, and/or other data analytic tools.
  • Design, build and support pipelines of data transformation, conversion, validation.
  • Build data manipulation, processing, and data visualization tools and share these tools across the team.
  • Leverage the statistical and computational knowledge to build algorithms for reporting.
  • Apply data analysis, data mining and data engineering to present data clearly and develop experiments.
  • Ensure high-quality data and understand how data is generated out of experimental design and how these experiments can produce actionable, trustworthy conclusions.
  • Assist senior management in making key business decisions.
  • Work with development teams to build tools for data logging and repeatable data tasks that will accelerate and automate data scientist duties.
  • Must be a U.S. Citizen with the ability to pass CBP background investigation.
  • Bachelor's degree in computer science, Math, Physics, Engineering, Statistics or other technical field and minimum 10 years of experience or equivalent.
  • Conceptual understanding of - and/or prior experiences related to - data profiling, fuzzy matching, entity resolution, and signal detection theory.
  • Experience manipulating large data sets through statistical software using SAS, SPSS, R, or Matlab or other methods.
  • Experience with developing predictive models for using large data sets for high transactional volume environment.
  • Experience with evaluating and measuring performance of models.
  • Firm understanding of common statistical modeling and techniques (e.g., linear regression, decision trees).
  • Strong algorithmic problem-solving skills.
  • Ability to understand and analyze data models - how the data is stored in relational databases.
  • Ability to understand system integration aspects of integrating model input and output in transactional systems.
  • Good understanding software application architecture and develop integration approaches for predictive models.
  • Strong organization and time management skills.
  • Must be available to work a hybrid schedule with an on-site requirement in Sterling, VA.
  • Strong government/CBP platform experience.
  • Experience working with Hadoop, Pig/Hive, Spark, MapReduce.
  • Comprehensive Deep Learning and machine learning experience.
  • Know Python and essential data analytical packages, PyTorch or TensorFlow.
  • Bayesian learning and modeling experience.
  • Knowledge of Probabilistic learning, time series analysis.
  • Strong problem-solving skill and research capabilities.
  • Computer vision and image processing background.
  • Working knowledge of the CBP Port of Entry systems and/or their operational requirements.
  • Experience automating business processes using RPA technologies.
  • Healthcare benefits.
  • Wellness benefits.
  • Financial benefits.
  • Retirement benefits.
  • Family support benefits.
  • Continuing education benefits.
  • Time off benefits.
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