KPMG Healthcare & Life Sciences - Data Scientist in New York, New York
Business Title: Healthcare & Life Sciences - Data Scientist
Requisition Number: 67263
Function: Business Support Services
Area of Interest: Data Analytics, Healthcare
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 Healthcare & Life Sciences - Data Scientist, to join our Advanced Analytics Organization.
Lead the development of highly innovative visualization, machine learning, optimization and statistical inference solutions for pressing Healthcare and Life Science challenges using very large scale proprietary and public data sets, computing infrastructure and insights from expert Healthcare partners
Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research
Utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, SAS, Python, Spark, Hadoop, Qlikview, and Tableau
Drive client engagements focused on Big Data and advanced business analytics, in the Healthcare space; communicate results and educate others through reports and presentations
Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships
Provide guidance and feedback to more junior team members through project performance evaluation
A minimum of 5 years of professional experience as well as an M.S. or Ph.D. Degree in relevant discipline: Statistics, Applied Mathematics, Operations Research/Optimization, Computer Science, Computational/Theoretical Physics, Data Science/visualization, Machine Learning, Electrical/Computer Engineering or Health Sciences (e.g. Bioengineering /Bioinformatics)
Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval
Deep experience in extracting, cleaning, preparing and modeling data
Experience with command-line scripting, data structures, and algorithms; ability to work in a Linux environment
Proficient in the big data ecosystem such Hadoop, Spark, and Storm and programming languages (e.g. Python, Ruby, Java, Scala)
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.