Senior Data Scientist

Senior Data Scientist

If you love high profile and challenging projects supporting the US Army, then Serco has a great opportunity for you! As a Senior Data Scientist, you will be part of the Global Logistics and Support Services (GLASS) team supporting Army Sustainment Command (ASC) and the Lead Material Integrator (LMI) at Rock Island, IL. Bring your expertise and collaborative skills to make an difference on high-visibility, influential projects.

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 Army Sustainment Command (ASC).

In this role, you will:

• 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.

To be successful in this role, you will have:

• The ability to obtain/maintain/transfer a DoD Interim Secret Security Clearance.
• US Citizenship.
• A Master's Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline.
• 5 years of experience working directly on a data science team.
• Superior communication skills, both oral and written.
• The ability to travel up to 10%.

Additional desired qualifications:

• Experience working with tools, including objectoriented 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.
• Familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
• Familiarity with unstructured text and natural language processing, R, Python, SAS, MATLAB, Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics.
• Familiarity with machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets.
• Familiarity with supervising algorithm implementation in on premise and cloud-based computing environments.
• Familiarity with developing software to generate reports and visualizations that summarize data sets and provide data-driven insights.
• Familiarity with 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.

If you are interested in working with a dedicated Serco team, then submit your application now for immediate consideration. It only takes a few minutes!