Junior Data Scientist

Job Description

Junior Data Scientist | Serco

The Tone:
This is a full-time role at Serco, located both CONUS and OCONUS, supporting Army Sustainment Command (ASC). Serco is a company dedicated to delivering vital services and solving complex challenges for leading government clients. In this role, you will contribute to creative, high-impact projects, utilizing data, algorithms, and analytical techniques to improve materiel readiness, optimize processes, and deliver top-tier products and services to customers. The work involves developing comprehensive solutions and incorporating them into software and workflows to achieve significant improvements and economic savings.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: CONUS and OCONUS (in support of Army Sustainment Command (ASC))
• Team: Supporting Army Sustainment Command (ASC)
• Mission: Identify and apply mechanisms to overcome impediments to materiel readiness and exploit opportunities to improve readiness through feasible, cost-effective software and business process improvements.
• Tech Stack: Python, Java, R, MATLAB, scikit-learn, Tableau, Qlik, Power BI, RShiny, plotly, d3.js, SQL, SAS, Anaconda, IBM Blue, Oracle Big Data

What You’ll Actually Do
• Analysis & Algorithm Development: Perform advanced analysis and analytics to produce algorithms and business process recommendations, specifically to identify and apply mechanisms for improving materiel readiness.
• Solution Design & Integration: Forecast and address complex analytical challenges, developing comprehensive solutions and incorporating these capabilities into software and workflows for process improvements.
• Process Optimization: Develop analytics and process solution sets, focusing on efficient, simple methods that provide economic savings-driven answers for optimized outcomes.
• Reporting & Communication: Regularly identify and communicate required courses of action for program and project success, including appropriate reporting processes and metrics to monitor and assess outcomes.
• Technique Application & Documentation: Apply a range of quantitative and qualitative analytics techniques, including logistics and agent-based modeling, and produce formal use cases and software program change requests for defense logistics support software.

The Must-Haves
• Background: Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline. U.S. Citizenship and an active Secret Clearance or interim Secret Clearance.
• Experience: Minimum 1 year working directly on a data science team; experience with object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn); experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, or Power BI; working knowledge of databases and SQL; experience using R, Python, SAS, or MATLAB to analyze large data sets.
• Skills: Object-oriented programming and computational analysis (Python, Java, R, MATLAB), data visualization (Tableau, Qlik, Power BI), SQL and database interaction, data architecture, feature engineering, predictive analytics, machine learning, natural language processing, and statistical modeling.
• Bonus: Experience linking analytic and data visualization products to database connections.