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Senior Associate, Data Scientist, NLP

Company: KPMG
Location: Greenville
Posted on: November 15, 2021

Job Description:

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 Senior Associate with NLP experience to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics. Responsibilities: * Identify business problem, select appropriate performance metric, develop data science modeling/algorithmic approach, and evaluate success of that approach within constraints of data and timeline * 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 working across different areas (risk management, financial services, mergers and acquisitions, and public policy) * Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations * Build ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (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, Regular Expressions, Knowledge Graphs, and Semantic Search. * 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, and distributed processing to achieve throughput goals Qualifications: * 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, Engineering, or related STEM fields. PhD from an accredited college/university is preferred * Ability to apply artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization) * 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 reuse, restructure, refactor and optimize code for efficiency * Fluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow, PyTorch); Experience with leveraging pre-trained models and transfer learning; Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like Git/GitLab; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j) * Ability to travel up to eighty percent of the time; US Citizenship is required Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example. Colorado Salary Range: Low: $54700 - High: $114000 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.

Keywords: KPMG, Greenville , Senior Associate, Data Scientist, NLP, Other , Greenville, South Carolina

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