Associate, Data Scientist
KPMG
6,968 reviews
Tampa, FL 33602
KPMG
6,968 reviews
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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 an Associate to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.
Responsibilities:
• Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources and constraints around data. Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships.
• Build and implement machine learning algorithms to analyze and model structured or unstructured data. Understand benefits of different approaches to decide on tools, features, and methodology for the business problem. Leverage detailed knowledge of advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research.
• Communicate technical details of solution, including mathematical formulations, alternatives, and impact on modeling approach to business stakeholders across industries (technology, financial services, emerging tech, government agencies - federal, state and local, and utilities).
• Create production quality data pipelines and ML pipelines that can be deployed at scale. Make use of in-house platforms in solution development and recommend and develop new capabilities.
• 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). Identify trends, patterns, and insights for data-driven decision making.
• Work in multi-disciplinary and cross-functional teams to rapidly iterate models and results to refine and validate approach ; Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; Utilize structured approaches to solving problems, managing risks, and documenting assumptions while communicating results and educating others through insightful visualizations, reports, and presentations.
Qualifications:
• Minimum of two years of experience working in teams of data & analytics professionals to deliver on business-driven analytics projects using natural language processing, machine learning on unstructured data, and/or information retrieval.
• Master's Degree or PhD from an accredited college/university in Computer Science, Statistics, Data Science, Engineering or related fields.
• Excellent problem-solving skills, verbal/written communication, and ability to explain technically complex concepts to business stakeholders.
• Deep technical understanding of data preparation approaches and machine learning algorithms. Solid experience performing data science from data discovery, cleaning, model selection, validation, to 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 fluency in Python or R; Experience with SQL and cloud technology preferred; Experience with command-line scripting, data structures, and algorithms; Ability to work in Linux and/or cloud environments; Ability to write production level code.
• 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 contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.