Bachelor's degree in math, science, engineering or related field; master's preferred
5-7 years experience in statistical modeling and machine learning
Proficient in Python, R, SQL, and data engineering concepts
Experience with DoD-approved cloud or hybrid environments
Strong knowledge of data visualization tools like Tableau or Power BI
Excellent attention to detail and organizational skills
Responsibilities
Assist in designing and validating advanced statistical and machine learning models
Conduct exploratory data analysis on complex datasets from Navy systems
Architect Qlik Sense data models for processing Casualty Reports
Develop logic to parse CASREP severity into quantitative statuses
Engineer advanced Set Analysis expressions for automated trend reporting
Implement Qlik GeoAnalytics for geographic analysis of system casualties
Design a dynamic UI/UX interface for ship schedule comparisons
Benefits
Competitive salaries
Comprehensive medical plans with EAP and flexible spending accounts
Opportunity for performance bonuses and spot awards
Traditional and Roth 401(K) plans
Professional development reimbursement up to $1,500/year
Paid Flexible Time Off
10 paid holidays
Full Job Description
We are seeking a Senior Data Scientist to support the US Navy's surface ship modernization and sustainment efforts.
What you'll do:
The Data Scientist will provide business and data management support to DPAE Maritime, the U.S. Navy's program office for Surface Ship Modernization and Sustainment. The role supports on-site at the Washington Navy Yard in the Mission Operations Center.
Responsibilities:
Assist with design, development, and validation of advanced statistical and machine learning models supporting Navy operation and business functions
Conduct exploratory data analysis on large, complex and often unstructured datasets from multiple Navy information systems
Architect robust Qlik Sense data model application utilizing complex Load Scripting and Data Transformation (ETL) to ingest and normalize 5,000+ daily Casualty Reports (CASREPs) from disparate sources into an associative engine
Develop variable-driven logic and nested If/Match functions to parse plain-language CASREP severity, mapping text to a quantitative 4-tier RAGB (Red, Amber, Green, Black) status for warfare area visualization
Engineer advanced Set Analysis expressions within Master Items to calculate dynamic day-over-day deltas and Casualty Correction (CASCOR) percentages, providing automated trend reporting
Implement Qlik GeoAnalytics and multi-layered Map Objects, leveraging real-time coordinate data to visually cross-reference system casualties with geographic positioning for localized "CASREPs of Interest" analysis
Design a dynamic UI/UX interface, enabling senior leadership to perform side-by-side comparisons of ship schedules and maintenance availability across the global fleet
Transform narrative reports into structured, filterable dimensions by using Leveraged String Functions and Wildcard Searches within the load script to automate the extraction of ship schedules from unstructured text fields
Optimize application performance through efficient Data Modeling techniques (Link Tables/Star Schema), ensuring sub-second response times for complex queries across the US Navy's numbered fleet datasets
Proficiency using Microsoft Word, Excel, PowerPoint, and SharePoint
Excellent attention to detail and organizational skills
Strong verbal and written interpersonal, communication, and presentation skills
Travel domestically and internationally, provide in-person support at MBC and client sites, and obtain and maintain professional certifications and security clearances as required by MBC and/or MBC's clients. These requirements are subject to change without advance notice at the discretion of MBC and MBC's clients
Qualifications:
Active Secret security clearance required
Bachelor's degree in math, science, engineering or related field, a master's degree in math, science, engineering or related field preferred
5-7 years prior experience in statistical modeling, supervised and unsupervised machine learning and data mining techniques
Experience in Python R, SQL and data engineering concepts
Experience with cloud or hybrid environments approved for DoD use
Strong knowledge of Data Visualization tools such as Tableau, Power BI, etc
Proficiency using Microsoft Word, Excel, PowerPoint, and SharePoint
Excellent attention to detail, organizational skills, and ability to multitask
Strong verbal and written interpersonal, communication, and presentation skills
Ability to travel domestically and internationally using a credit card or prepaid debit card as required by MBC and/or clients
Attend meetings and provide onsite/in-person support as required
Compensation Policy: Salary ranges displayed are typical for this position, but MBC considers multiple factors when extending an offer. Factors include the role and associated responsibilities, a candidate's qualifications, and the contractual terms of the program.
What MBC offers:
Competitive salaries
Comprehensive medical plans (Aetna) with Employee Assistance Program (EAP), heath savings and flexible spending accounts, and dental and vision coverage options
Opportunity to earn spot awards and annual, performance, and chargeability bonuses
Traditional and Roth 401(K) plans
Professional development including up to $1,500/year reimbursement for pre-approved courses, trainings, continued education, and/or certifications
Paid Flexible Time Off
10 paid holidays
About Morgan Borszcz Consulting
Morgan Borszcz Consulting (MBC) is a management consulting firm that provides services to the US government and commercial clients. The company was founded in 2001 and is headquartered in McLean, Virginia. MBC's services include program management, engineering, logistics, and information technology. The company has worked with a wide range of clients, including the Department of Defense, the Department of Homeland Security, and the Federal Aviation Administration. MBC has received several awards for its work, including the 2019 Nunn-Perry Award for outstanding performance in the DoD Mentor-Protégé Program.
