Data Scientist - Optimization

Job description

Business Title:

Data Scientist - Optimization

Requisition Number:

66801

Function:

Advisory

Area of Interest:

Data Analytics, Project Management

State:

IL

City:

Chicago

Description:

Known for being a great place to work and build a career, KPMG provides 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 Lead Specialist in Strategic Profitability Insights for ourDeal Advisory practice.

Responsibilities:

·  Analyze data using statistical techniques such as regression, machine learning clustering, A/B testing, and time series modeling/forecasting
·  Balance statistical rigor and thoroughness with cost and speed based on the client's budget and time frame
·  Perform explanatory data analysis, generate and test working hypothesis, prepare and analyze historical data and identify patterns
·  Generate repeatable data and analytic processes using tools such as R, Python, Hive, Alteryx, Tableau, and SQL Server
·  Work with cross-functional KPMG team members to develop and present findings
·  Own or participate in every component of a client deliverable, from identifying client needs to producing the final presentation and reports

Qualifications:

·  A minimum of five years of experience with sophisticated analytics tools and domain specific programming languages such as R, Python, Alteryx, SAS, Matlab, and SQL and/or general-purpose programming languages such as Python, Julia, Scala and/or visualization platforms such as Tableau, Qlikview, PowerBI, or JavaScript
·  PhD in operations research, applied math or related fields, with three years of relevant experience and strong knowledge in at least one of the following fields: statistics, data mining, machine learning, operations research, or econometrics
·  Experience with the ETL process and familiarity with SQL and HiveQL; Spark experience a plus
·  Ability to learn new data science and analytic tools quickly according to the needs of our team and our clients
·  Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business people potentially including C-level executives, and to explain business processes, concepts, challenges, and issues to technical resources
·  Up to 50% travel may be required
·  Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

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.

GL:

4

GF:

15299