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.

Responsibilities:

• 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

Qualifications:

• A minimum of 3 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 offers a comprehensive compensation and benefits package. KPMG, an equal opportunity employer/disability/veteran. 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.