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 a Sr. Associate Data & Analytics Modeler Machine Learning to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.
D&A Modelers help to bridge the gap between technical modeling needs (i.e., data science) and business issues skewing toward data science but also bring big data engineering capabilities playing an important utility role helping to manage overall solutioning
Assess, capture, and translate complex business issues and requirements into structured analytics use case, including rapid learning of industry / domain / client dynamics and development of effective work stream plans while managing KPMG resources to drive engagements to successful closure
Research and communicate sector or process-specific data and D&A solution design requirements, including building such design requirements into targeted visualizations
Build analytics solution modeling logic within a variety of analytics tools and on a variety of big data platforms as required by the client, creating robust documentation of solutions and underlying design decisions
Deliver client project modeling work stream through direct ownership of data integration, validation, mining, and modeling, as well as client communication deliverables
Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test / iterate exploratory models that will reveal insight and opportunities for the client
Minimum three years of data analytics experience with a professional services firm, an internal strategy / analytics group, or similar environment with previous experience in strategy and / or analytics consulting highly regarded
Bachelor's degree or MS from an accredited college in a Mathematics, Statistics, Physics, Engineering or a related field with a focus on analytics with working knowledge of modelling (regression, machine learning, feature selection, dimension reduction, validation), data (extracting, preparing, munging, validating), and building analytics pipelines
Proficiency with sophisticated analytics tools and programming languages such as SAS, R, Python, Alteryx, SQL, working independently with minimal supervision as well as collaborating effectively as part of a team
Strong communication skills, able to explain technical concepts to business audiences, and to explain business concepts to technical resources across both client and KPMG teams
Demonstrated ability of understanding engagement objective, to include an understanding of the clients' business problem and how the engagement helps address it;
knowledge of or strong aptitude for understanding business, operational, process, delivery and revenue models
Broad, versatile knowledge of analytics landscape, with demonstrated solution design and build expertise, work stream management skills, and business consulting acumen in applying advanced analytics to solve business issues
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.
The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws.
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