KPMG Senior Associate, Data Scientist in Seattle, Washington
Business Title: Senior Associate, Data Scientist
Requisition Number: 62732 - 98
Area of Interest:
Innovate. Collaborate. Build. Create. Solve. The KPMG Digital Lighthouse is KPMG's award-winning Analytics & AI Center of Excellence recognized by clients and leading analyst firms in the US and globally. The KPMG Lighthouse is a curation of specialized technical capabilities and domain experts working across the digital landscape: applied data science, AI, data engineering and insights, software engineering, automation, and big data. Here, you'll work with a diverse team of professionals to explore and build solutions for clients in a multiplatform environment.
You'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. In this particular role, you'll work specifically in the AI Analytics & Engineering Community within the Digital Lighthouse, on a wide range of projects. From applied AI to optimization to big data platform engineering, your analytical and technical skills will drive real impact in the business world. At KPMG, our commitment to your career development helps to set us apart as an employer. We want to enhance your potential, both for yourself and as a contributor to our firm. That's why we provide every opportunity to expand your skills, knowledge and experiences through formal education and training programs, leadership development opportunities, and, as well as informal one-on-one coaching and mentoring from your KPMG colleagues.
KPMG is currently seeking a Sr. Associate to join our KPMG Lighthouse (https://home.kpmg.com/us/en/home/insights/2015/01/data-and-analytics.html?location=us) - Center of Excellence for Advanced Analytics.
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, and public policy)
Work in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches; rapidly iterate models and results to refine and validate approach across different areas (technology, financial services, emerging tech, government agencies federal, state and local, and utilities)
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
Deliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation and delivery; communicate results and educate others through insightful visualizations, reports, and presentations
Build ingestion processes to prepare, extract, and enrich a variety of structured and unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data) while performing exploratory data analysis, generating, and testing working hypotheses to uncover interesting trends and relationships
Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics and operations research
Minimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds
Masters degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred
Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms and security; Ability to explain technical concepts to business people through excellent verbal/written communication
Solid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; Experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency
Ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, Python, Spark, Hadoop and emerging Cloud Capabilities on Azure, GCP and/or AWS; Experience with command-line scripting, data structures and algorithms; Ability to work in a Linux environment
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, age, 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 ( https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf) contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.