KPMG Senior Specialist, Federal Data Optimization in Dallas, Texas
Business Title: Senior Specialist, Federal Data Optimization
Requisition Number: 61989 - 84
Area of Interest:
The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.
Apply various optimization techniques to generate solutions for large-scale optimization challenges for clients, such as resource planning, scheduling, facility location, and network optimization (Techniques may include: commercial solvers, event simulation, dynamic programming, local heuristics, metaheuristics, and more)
Develop predictive models using machine learning, natural language, and statistical analysis methods such as: classification, time-series analysis, regression, statistical inference, and validation tools
Perform exploratory data analyses, generate / test working hypotheses, prepare / analyze historical data, and identify patterns
Work directly with KPMG clients and stakeholders to present / explain key techniques and major results generated using non-technical language; understand client feedback and be able to accommodate into model(s) through programming
Produce innovative and repeatable business use cases for real world optimization techniques, and quickly develop prototypes to test use cases
Utilize a diverse array of technologies (R, Python, Tableau, Power BI, Qlik, etc.) to deliver project insights
A minimum of three years of data optimization experience (e.g. - discrete optimization, integer programming (including commercial optimization solvers), discrete-event simulation, dynamic programming, local search heuristics, genetic algorithms, other metaheuristics)
Bachelor's degree from an accredited college/university; Master's degree in Operations Research, Computer Science, Applied Mathematics, Industrial Engineering preferred
Proficiency in data analysis packages (e.g. - R, SAS, Matlab), programming languages (e.g. - Python, Java, SQL) as well as ability to implement, maintain, debug / test; experience in commercial optimization solvers (e.g. - CPLEX, Gurobi, Xpress)
Experience in software development using version control (Git), unit testing, Jira, and Confluence
Ability to present and explain technical concepts to business audiences
Ability to travel as required to support firm engagements
Ability to obtain a U.S. Federal government security clearance within a reasonable period of time, which requires U.S. citizenship
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link ( https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf) contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
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