KPMG Director, Data & Analytics Modeler, AI and NLP in Seattle, Washington
Director, Data & Analytics Modeler, AI and NLP
New York, New York
Requisition #: 42703
Practice Area: Business Support Services
Location: Irvine, CA; Washington, DC; Atlanta, GA; Chicago, IL; New York, NY; McLean, VA; Seattle, WA
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 Director, Data & Analytic Modeler, NLP and AI to join our- Center of Excellence for Advanced Analytics Financial Services group.
Lead workshops, innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions; Utilize processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements, and work with clients to manage risks, set expectations, and ensure successful delivery across areas such as risk management, financial services, mergers and acquisitions, and public policy
Lead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams and multiple responsibilities using structured approaches for operational excellence; Manage expectations, budgets, deliverables, and communicate results to executive level audiences
Work with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data; Leverage a variety of data sources such as social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data
Leverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search
Plan engagement objectives and key deliverables; Manage using analytics processes to mitigate risks in data, modeling, validation and delivery; work with team members to capture assumptions, and risks, and develop approaches to mitigate issues
Refactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; Utilize APIs, platforms, containers, multi-threading, distributed processing to achieve throughput goals
Minimum of ten years of experience leading teams of ten plus data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes; multidisciplinary backgrounds preferred
Bachelor's, Master's, or PhD degree from an accredited college/university in a quantitative discipline, such as Computer Science, Engineering, or Mathematics, including two plus years of training specific to artificial intelligence
Ability to work with the business to understand business goals in order to create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints; Strong knowledge in delivering analytics projects using leading processes including proficient knowledge of data discovery, cleaning, model selection, validation, and deployment
Understanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss pros and cons of modeling approaches; Understanding of development practices such as testing, code design, complexity, and code optimization
Fluency in Python; proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms such as Google Cloud, Azure, and AWS; Ability to work with a variety of databases such (SQL, ElasticSearch, Solr, Neo4j)
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. Thecontains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
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).
401(k) and Pension Plans
Dependent Care Flexible Spending Account
Health Care Flexible Spending Account
Mortgage Assistance Program
Hyatt Legal Plan
Benefits vary by employment status.
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