Serco is a dynamic company that provides innovative solutions for leading government clients. As a Junior Data Scientist, you will support Army Sustainment Command by performing advanced analysis, developing algorithms, and optimizing business processes to improve readiness and efficiency.
Perform advanced analysis and analytics to produce algorithms and/or business process recommendations
Develop and use data, algorithms, and analyses to identify and apply mechanisms to both overcome impediments to materiel readiness and exploit opportunities to improve readiness through feasible, cost-effective software and business process improvements, changes, and interventions
Forecast and address complex analytical challenges and identify the challenges and opportunities within systems, develop comprehensive solutions, and incorporate these capabilities solutions into software and workflows
Develop analytics and process solution sets, the criteria for recommended algorithms and processes shall include preference for efficient methods that use as simple of a process as possible given the current state-of-the-art practices. The analytics and process solution sets shall provide appropriate, economic savings-driven answers
Regularly identify and communicate courses of actions required for program and project success, including appropriate reporting processes and applicable metrics to monitor and assess outcomes
Proactively identify mechanisms to improve mission performance
Use appropriate quantitative analytics techniques to include time series analysis and forecasting, advanced multivariate regression (including Probit and Logit Models), systems dynamics modelling, Bayesian inference procedures, minimax procedures (statistical), subjective probability utilization, expected utility analysis, operational risk analysis, and uncertainty evaluation
Use appropriate qualitative analytics techniques to include multi-criteria decision analysis, qualitative comparative analysis, causal mapping, formal game theory, minimax procedures (game theory), decision architecture, systems architecture analysis, organizational analysis and structural reform, supply chain analysis, and multinational best practices (military and industry) evaluation
Use logistics and agent-based modeling and simulation
Conduct business process analysis and optimization across the Doctrine, Organization, Training, Materiel, Leadership, Education, Personnel, Facilities, Policy (DOTMLPF-P) spectrum and beyond
Produce formal use cases, software program change requests, and other required documentation for technology insertion into related defense logistics support software
Interface and liaise with software program offices and contractors
Develop requirements for defense analytics software
Conduct stakeholder analysis and create products for stakeholder communications and messaging
Qualification
Required
U.S. Citizenship
An Active Secret Clearance or an interim Secret Clearance
A Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline
Minimum 1 year of experience working directly on a data science team
Experience working with tools, including 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, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact
Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections
Superior communication skills, both oral and written
Understand data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
Unstructured text and natural language processing
Experience using tools or languages like R, Python, SAS, or MATLAB, Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics in making sense of data
Experience using machine learning, data mining, statistical networks, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets
Experience developing software to generate reports and visualizations that summarize data sets and provide data-driven insights
Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions
Preferred
Benefits
Medical, dental, and vision insurance
Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract
401(k) plan that includes employer matching funds
Tuition reimbursement program
Life insurance and disability coverage
Optional coverages that can be purchased, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
Birth, adoption, parental leave benefits
Employee Assistance Plan
Serco is a provider of professional, technology, and management services to government.
