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 to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.

Responsibilities:

• Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning business operational, process, delivery, and revenue models
• Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, and documenting assumptions; Communicate results and educate others through insightful visualizations, reports and presentations
• Assess, capture, and translate problems and requirements into structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans
• Build ingestion processes to prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)
• 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
• Deliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation and delivery; Communicate clearly and concisely with key stakeholders on technical subjects, including the modeling processes and data cleaning

Qualifications:

• Minimum of two years of experience leading work streams with two or more data scientists, engineers, and other data & analytics professionals; Minimum of one year of training specific to artificial intelligence; Working knowledge of modeling (regression, machine learning, feature selection, dimension reduction, validation), data (extracting, preparing, munging, validating), and building analytics pipelines
• Bachelor's degree, Master's degree or PhD from an accredited college/university in a quantitative discipline, such as Computer Science, Engineering, or Mathematics
• Strong knowledge in designing and building machine learning pipelines (data extraction, feature engineering from structured and unstructured data); Experience with the entire software development lifecycle, knowledge of software development methodologies, frameworks, tools, and technical architecture
• Ability to apply statistical, machine learnings, and artificial intelligence techniques to achieve concrete business goals and work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance and resolve problems using solid problem-solving skills and strong verbal/written communication; Possess broad, versatile knowledge of analytics and data science landscape, combined with strong business consulting acumen
• Proficiency with sophisticated analytics tools and programming languages (SAS, R, Python, Java, Spark, Hadoop, Alteryx, and SQL); and data visualization tools (Tableau, QlikView, and others)
• Ability to travel up to eighty percent of the time; 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. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.