Junior Data Scientist

Job Description

Junior Data Scientist | Serco

The Tone:
This is an early career position at Serco, located across both the Continental United States (CONUS) and Outside Continental United States (OCONUS) in support of the Army Sustainment Command (ASC). Serco partners with leading government clients, delivering top-tier products and services by solving complex challenges and improving vital processes. In this role, you will be crucial in assisting the Army Sustainment Command to overcome impediments to materiel readiness and enhance overall operational efficiency.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: CONUS and OCONUS

• Team: Collaborative team supporting Army Sustainment Command (ASC)
• Mission: To improve materiel readiness and mission performance for the Army Sustainment Command through advanced data analysis, algorithm development, and process optimization.
• Tech Stack: Python, Java, R, MATLAB, scikit-learn, Tableau, Qlik, Power BI, RShiny, plotly, d3.js, SQL, SAS, Anaconda, IBM Blue, Oracle Big Data, machine learning, data mining, statistical networks, natural language processing, text analytics, graph-based algorithms

What You’ll Actually Do
• Analysis: Perform advanced analysis to produce algorithms and provide business process recommendations.
• Readiness Improvement: Develop and use data, algorithms, and analyses to identify mechanisms to improve materiel readiness and exploit opportunities.
• Solution Development: Forecast and address complex analytical challenges, developing comprehensive solutions for integration into software and workflows.
• Process Optimization: Conduct business process analysis and optimization across the Doctrine, Organization, Training, Materiel, Leadership, Education, Personnel, Facilities, Policy (DOTMLPF-P) spectrum.
• Documentation & Requirements: Produce formal use cases, software program change requests, and develop requirements for defense analytics software.

The Must-Haves
• Background: Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline. Requires U.S. Citizenship and an active Secret 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 data science libraries (scikit-learn); creating data visualizations and interactive dashboards using platforms like Tableau, Qlik, Power BI, or RShiny; working knowledge of databases and SQL; experience with unstructured text and natural language processing; and using machine learning, data mining, statistical networks, or graph-based algorithms to analyze data sets.
• Skills: Superior communication skills (oral and written); understanding of data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics; proficiency in quantitative analytics techniques including time series analysis, advanced multivariate regression, and Bayesian inference; and proficiency in qualitative analytics techniques such as multi-criteria decision analysis, causal mapping, and formal game theory.
• Bonus: Experience linking analytic and data visualization products to database connections.