Senior Data Scientist Security Clearance

Position: Senior Data Scientist with Security Clearance
Location: Alden

Position Description & Qualifications As a Data Scientist, Senior you will play a key role in supporting the 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. POSITION QUALIFICATIONS To be successful in this role, you will have:
* U.S. Citizenship

* An Active Secret Clearance or an interim Secret Clearance.
* Master's Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline.

* Minimum 4 years of experience working directly on a data science team.

* Superior communication skills, both oral and written.

* 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.
* 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…