Associate, Data Scientist/Statistics -- Financial Services

KPMG - Irvine, CA (30+ days ago)4.0


Innovate. Collaborate. Shine. Lighthouse — KPMG's Center of Excellence for Advanced Analytics — has both applied data science, AI, and big data architecture capabilities. Here, you’ll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects — covering technologies and solutions from AI to optimization — and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.

KPMG is currently seeking an Associate to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.

Responsibilities:
Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
Build recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data
Cluster large amount of user generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark
Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
Participate in client engagements focused on big data and advanced business analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management; communicate results and educate others through reports and presentations
Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns

Qualifications:
A minimum of one year of professional experience working as a Data Scientist
Master's degree or PhD from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with a strong mathematical background and ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint
Strong knowledge in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval
Strong data extraction and processing, using MapReduce, Pig, and/or Hive preferred
Ability to travel up to eighty percent of the time. Must be legally authorized to work in the United States without sponsorship of a VISA.
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, personal appearance, family responsibility, matriculation or political affiliation, 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.