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KPMG Senior Associate, Data Scientist in Dallas, Texas

Business Title: Senior Associate, Data Scientist

Requisition Number: 75334 - 84

Function: Advisory

Area of Interest: Digital Lighthouse

State: TX

City: Dallas


We are The Lighthouse within KPMG's Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we're able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse.


  • 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.


  • 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.

  • Master's Degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields. PhD from an accredited college/university is preferred.

  • 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 when necessary; 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 (http://xn--hvg/) contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

At KPMG any employee, partner or contractor must be fully vaccinated or have a reasonable accommodation for COVID-19 in order to go to any KPMG office, or to work on or in association with a federal contract (unless prohibited by applicable law).

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