Responsibilities:- Plan, lead, and execute delivery of data / AI engagements (including definition of objectives, key deliverables, mitigating risk in data, modeling, validation, delivery)
- Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions
- Work with clients to discover data sources and create date requests; lead data discovery, ETL/ELT processes to ingest structured data / annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal / external documents, images, video, voice, emails, financial data, and operational data)
- Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, to delivery
- Lead in a fast-paced / dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, and deliverables
- Define, monitor, and report key business metrics to management; design, implement, and manage various reporting processes / dashboards
- Ability to travel as required to support firm engagements
Qualifications:- A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience; U.S. Federal government consulting experience preferred
- Bachelor's degree from an accredited college/university
- Experience utilizing analytics / software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval
- Deep technical understanding of data preparation approaches and machine learning algorithms
- Knowledge / experience preforming data science from data discovery, cleaning, model selection, validation, to deployment
- Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency)
- Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A related microservices)
- 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 as required to support firm engagements
- Applicant must possess or be eligible for U.S. Government clearance
KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101ADV_3_26
