Product Architect (Data Scientist) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * 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. **What you’ll get to do:** The Data Science subject matter expert will manage and use data to design data-driven predictive maintenance model, infer and recommend business decision, and conduct root cause (causality) analysis, support IoT device signal analytics, and trend analysis for ITI2.1 requirement. We are looking for experienced engineers who know how to solve complex big data problems, work with algorithms, analyze big data and can run end-to-end data analytical pipeline. + Develop an understanding of the customer’s data environment through data profiling and statistical analyses + Execute complex SQL queries + Design and development of 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 heterogenous 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 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. **You have:** + Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria includes, but not limited to: + 3-year check for felony convictions + 1-year check for illegal drug use + 1-year check for misconduct such as theft or fraud + 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 (specifically with respect to SD theory: designing and improving upon systems that monitor, minimize, and balance false positive and false negative outcomes). 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 + Should have a firm understanding of common statistical modeling and techniques (e.g., linear regression, decision trees). + Strong algorithmic problem-solving skills. Experience with statistics, modeling and machine learning techniques Statistics including but limited to hypothesis testing, regression, clustering, classification, and optimization. + 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 to help real time decision making + Good understanding software application architecture and develop integration approaches for predictive models + Possess the ability to perform with little direct supervision as a self-starter. Be a self-motivated, creative, and inquisitive problem solver with a strong work ethic and data integrity. + Strong organization and time management skills – prior experience in leading a small team is preferred + **Must be available to work a hybrid schedule with an on-site requirement in Sterling, VA** **Bonus would be having:** + 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 - **________________________________________________________________________________________** **What You Can Expect:** **A culture of integrity.** At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. **An environment of trust.** CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. **A focus on continuous growth.** Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. **Your potential is limitless.** So is ours. Learn more about CACI here. (https://careers.caci.com/global/en/life-at-caci) **________________________________________________________________________________________** **Pay Range** : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here (https://careers.caci.com/global/en/employee-benefits) . The proposed salary range for this position is: $120,800 - $265,800 _CACI is_ _an Equal Opportunity Employer._ _All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any_ _other protected characteristic._