KPMG Director, Data Scientist - Optimization in New York, New York
Business Title: Director, Data Scientist - Optimization
Requisition Number: 67523
Function: Business Support Services
Area of Interest: Data Analytics
City: New York
The fastest growing Big Four professional services firm in the U.S., KPMG is known for being a great place to work and build a career. We provide audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Director, Data Scientist - Optimization, to join our Advanced Data and Analytics Organization.
Lead a growing a team of optimization experts and big data cloud computing experts to deliver a myriad of optimization projects to our clients, and participate in related business development activities
Design and implement high-performance algorithms for data mining, optimization, machine learning, network analysis, and modelling
Work as part of a fast-paced team working on the full life cycle of analytics, from problem conception, solution formulation, algorithm development and implementation, to production
Utilize software development best-practices to create code to be deployed in production
Work in distributed and cloud computing environments to allow for scalable parallel algorithms to utilize additional computational power
Identify and experiment with new trends, to help stay in front of the curve, and innovate in the leading edge of optimization
PhD with 6+ years experience with degree in Operations Research, Applied Mathematics, Industrial Engineering, or related field; would also consider MS with 8+ years experience
Strong mathematical background with expertise in one or more of the following fields: discrete and combinatorial optimization, linear and integer programming (including commercial optimization solvers), dynamic programming, heuristic search algorithms including genetic algorithms, simulated annealing, tabu search, simulation modeling including discrete event, agent based or system dynamics
Experience with command-line scripting, data structures, and algorithms; ability to work in a variety of environments including Linux, distributed computing and big data systems (Hadoop, Spark, Hive, Pig, Storm, Kafka, etc.)
Proficiency in implementing algorithms in multiple programming languages including profiling, debugging, testing; experience in formal development using version control (Git), unit testing, and documentation with Git, Jira, Confluence
Ability to travel
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, or other legally protected status. KPMG maintains a drug-free workplace. KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192). No phone calls or agencies please.