Junior Data Scientist

Job Description

Junior Data Scientist | Serco

The Tone:
This is an early career role at Serco, supporting Army Sustainment Command (ASC) both CONUS and OCONUS. Serco helps clients deliver vital services more efficiently, increasing end customer satisfaction. This role contributes to high-impact projects for government clients, solving complex challenges and improving processes using advanced technologies. As a Junior Data Scientist, you will play a key part in delivering top-tier products and services to our customers. You will discover your place here, making an impact because every contribution matters within our collaborative work environment.

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

• Team: Data Science Team
• Mission: Identify and apply mechanisms to overcome materiel readiness impediments and improve readiness through 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
• Analyze & Recommend: Perform advanced analytics to produce algorithms and business process recommendations for government clients.
• Improve Readiness: Develop and utilize data, algorithms, and analyses to enhance materiel readiness and identify improvement opportunities.
• Develop Solutions: Forecast complex analytical challenges, identifying system opportunities to incorporate comprehensive software and workflow solutions.
• Manage Communication: Conduct stakeholder analysis to create communication products and liaise with software program offices and contractors.
• Document & Define: Produce formal use cases, software program change requests, and develop requirements for defense analytics software.

The Must-Haves
• Background: Early career professional with a Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline. U.S. Citizenship and an Active Secret Clearance (or interim) are required.
• Experience: Minimum 1 year working directly on a data science team. This includes creating meaningful data visualizations and interactive dashboards to communicate business impact. You should have experience analyzing large datasets and developing automated analytics using tools like R, Python, SAS, MATLAB, Anaconda, IBM Blue, and Oracle Big Data. Demonstrated experience in applying machine learning, data mining, statistical networks, natural language processing, text analytics, and graph-based algorithms is also required. Furthermore, you will have developed software for reports and visualizations, and implemented statistical, machine learning, and heuristic techniques for descriptive, predictive, and prescriptive analytics.
• Skills: Proficiency in object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and data science libraries (scikit-learn). Strong command of data visualization platforms (Tableau, Qlik, Power BI, RShiny, plotly, d3.js) and working knowledge of databases and SQL. Understanding of data science methods including data architecture, data munging, data and feature engineering, predictive analytics, unstructured text, and natural language processing. Experience with machine learning, data mining, statistical networks, text analytics, and graph-based algorithms is essential. Superior written and oral communication skills are required.
• Bonus: Experience linking analytic and data visualization products directly to database connections.