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Senior Specialist, Data Science

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Job Details
Job Order Number
JC143783481
Company Name
KPMG
Physical Address

Chicago, IL 60664
Job Description

Senior Specialist, Data Science

Chicago, Illinois

Requisition #: 43826

Practice Area: Advisory

Location: Chicago, IL; New York, NY

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 Senior Specialist in Financial Due Diligence for ourpractice.

Responsibilities:

+ Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns

+ Perform machine learning, natural language, and statistical analyses, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods

+ Deploy, test, and observe your analyses to ensure they meet the user’s unique demands

+ Automate analyses and author pipelines via SQL and python based ETL framework

+ Retrieve, prepare, and process data from a variety of sources such as social media, transaction databases, and operational data

+ Develop interactive dashboards and reports

Qualifications:

+ A minimum of three years of experience working as a data scientist

+ Master? Degree or PhD in Math, Statistics, Operations Research, Engineering, Computer Science or Economics

+ Strong knowledge/experience in one or more of the following areas: Statistics, Operations Research, Machine Learning, Forecasting, and/or Natural Language Processing

+ Experience working with Spark, Hive, Athena or other related technologies; Fluency in R, Python, or Julia

+ Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product; Ability to work in a Linux environment

+ 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 affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. Thecontains further information regarding the firm’s compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

Our Benefits

Health

KPMG offers a range of medical insurance options to meet your needs as well as prescription drug coverage, health care flexible spending accounts, and dependent day care flexible spending accounts.

Personal Time Off (PTO)

Up to 30 PTO Days per year (depending on job classification/level/years of service).

Financial

+ 401(k) and Pension Plans

+ Dependent Care Flexible Spending Account

+ Health Care Flexible Spending Account

+ Mortgage Assistance Program

+ HomeBenefits@Work Program

+ Hyatt Legal Plan

  • Benefits vary by employment status.


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