Data Scientist SME

Position Description

At Serco, we foster a dynamic and collaborative work environment where team members contribute to innovative, high-impact projects for leading government clients. We provide opportunities to solve complex challenges, improve processes, and utilize the latest technologies to deliver top-tier products and services to our customers. The positions on this contract are located both CONUS and OCONUS in support of the Army Sustainment Command (ASC).  Most positions require potential travel to support DoD customers as needed.

 

**This is NOT a remote role. This role will require you to report on-site 5x/week**

 

Provide subject matter expertise in Advanced Analytics Support services in support of quantitative and qualitative analytical capabilities in advanced methodological approaches, and advanced business process optimization across the enterprise.

 

As a Data Scientist SME, you will drive agency innovation and deliver expert business intelligence with respect to data governance, data visualization, data analysis and management capabilities, organizational capacity, and enterprise analytics infrastructure.

 

In this role, you will:

• Enhance/Develop/Sustain decision support tools along with internal and external portals using data/tools such as Army VANTAGE, ADVANA, Microsoft Power Automate; PowerBI, Python, Structured Query Language (SQL), Statistical Analysis System (SAS), Oracle, Microsoft Azure, Microsoft Suite of products, machine learning methods, and other data analytics tools, as necessary.
• Be responsible for performing research, analysis, and programming model development projects on requirements and architecture. Develop, analyze, and recommend new methodologies to integrate data from various sources and systems.
• Analyze complex data elements and systems, data flows, dependencies, and relationships to contribute to conceptual physical and logical process and procedure models.
• Develop data set processes.
• Use programming languages and tools to identify and develop ways to improve reliability, efficiency, and quality for analysis missions, organizational goals, and future planning. Define deficiencies and shortfalls, recommend corrective actions to data architecture, and execute approved revisions.
• Produce data packages and reports used in the daily mission of the team by processing SAS code, evaluating, developing, modifying, updating, troubleshooting, and testing a desktop database (MS Access or similar product) by creating/modifying Visual Basic for Application (VBA) scripts within the desktop database to support mission requirements.
• Assess data sources to determine the types of data available and how to import data into systems and models to reduce or eliminate manual reporting or processing requirements.
• Use expert knowledge of representative models to determine the adequacy of input data and ensure integrity and pertinence of output data. Anticipate, identify, and define major problems and future needs, identify root causes, and develop practical courses of action and timely solutions.
• Identify, develop, and integrate pertinent information, including internal and external sources, through various data collection procedures and technologies, including emerging data science and big data methodologies.
• Extract relevant information from historical datasets; identify, create, and employ the appropriate statistical, algorithmic, mining, forecasting, predictive, and visualization techniques; evaluate information in relation to its impact on decision-making.
• Recommend data collection, integration, and retention requirements; and make recommendations for improvements to methods and algorithms, based on knowledge of best practices.
• Participate in the planning and implementation of methods, models, and tools and partners with other analysts to identify opportunities for significant process enhancements and recommend changes.
• Prepare presentations, write reports, build data visualization products, and work to communicate technical results and actionable insights to the Division Chief with varying levels of analytic sophistication, such as via the military decisionmaking process (MDMP), and will include building and customizing automated tools, dashboards and customer interface portals based upon leadership and staff’s requirements using the Army-designated platform or another internal platform.
• Reports and visualizations will include drilldown capabilities and be designed in a way that is intuitive and usable for the division and may include the use of a programming language to build out certain visualizations depending on the tool being used.
• Interface and collaborate with various process owners and others to refine understanding of underlying problems(s)