Associate Data Scientist - AI in Management Analytics 2020 National

Responsibilities & Qualifications

KPMG is currently seeking an Associate for our Lighthouse - Data & Analytics Data Science AI in Management practice.

While this requisition may state a specific geographic office, please note that our positions are location flexible between our major hubs. Opportunities may include, but are not limited to, Atlanta, Chicago, Dallas, Denver, New York City, Orange County, Philadelphia, Seattle, Washington DC. Please proceed with applying here, and let us know your location preference during interview phase if applicable.

Responsibilities:

• Work in multi-disciplinary and cross-functional client-facing KPMG teams to translate business requirements into artificial intelligence goals and modeling approaches. Rapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy).

• Participate 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.

• Deliver on engagement milestones by applying analytics processes to data preparation, modeling, validation, and analysis summary tasks. Translate advanced business analytics problems into technical approaches that yield actionable recommendations in diverse domains.

• Retrieve, prepare, and process a variety of both structured and unstructured data sources (social media, news, internal/external documents, emails, financial data, and operational data). Perform exploratory data analysis, generate and test working hypotheses, and 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.

Qualifications:

• Bachelors, Masters or PhD in Computer Science, Engineering, or related fields; PhD preferred. Preferred: Prior exposure to working in technical teams outside classroom setting to deliver business-driven analytics projects using natural language processing, machine learning on unstructured data, and/or information retrieval; multidisciplinary background.

• Ability to apply artificial intelligence techniques to real-world use cases by: applying data science methods to real-world data sets (data discovery, cleaning, model selection, validation, and deployment); coding artificial intelligence methods using object-oriented programming (R, SAS, Python, Scala, Spark, Hadoop, Qlikview, and Tableau) in a software development process, with ability to restructure, refactor, and optimize code for efficiency, and working knowledge of command-line scripting, data structures, and algorithms; and proficiency working in a Linux environment.

• Ability to effectively interact with client stakeholders to: understand needs, available resources, 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 to explain technical concepts to non-technical team members.

• Ability to travel up to 80% of the time, depending on project assignments.

• Targeted graduation date Fall 2019 through Summer 2020

Work Authorization

Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.