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Senior Data ScientistChicago StaffingUnited States

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Senior Data Scientist

Chicago Staffing
  • US
    United States
  • US
    United States

À propos

Data Scientist, Senior
Bettendorf, Illinois, US Chicago, Illinois, US North Chicago, Illinois, US Rock Island, Illinois, US Moline, Illinois, US Davenport, Iowa, US Business Systems/Analysis 18303 Full-Time No - Teleworking not available for this position $85032.41 - $141720.69 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 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. Company Overview
Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: https://careers.serco-na.com/us/en/what-we-offer. If you require an accommodation with the application process please email: careers@serco-na.com or call the HR Service Desk at 800-628-6458, option 1.
  • United States

Compétences linguistiques

  • English
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