Senior Specialist, Federal Data Science

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.

Responsibilities:

• Collaborate with multi-disciplinary and cross-functional teams to identify business opportunities and develop machine learning and data science solutions
• Utilize processes and best practices to plan, lead, and execute delivery of data analytics and AI engagements for state and federal government clients to manage risks, set expectations, and ensure successful delivery of projects
• Work with clients and team leads to discover data sources and create data requests; collaborate with data engineers to develop and utilize the ETL process to ingest and enrich structured and unstructured data - leveraging a variety of data sources such as social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data
• Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns
• Build and manage production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration and model management in cloud environment

Qualifications:

• A minimum of three years of experience in developing machine learning models (predictive models, classification, cluster analysis, time series and forecasting, regularization, feature selection, NLP, computer vision, anomaly detection, etc.)
• Bachelor's degree from an accredited college/university; MBA or MIS from an accredited college/university preferred
• Ability to apply artificial intelligence and machine learning techniques to achieve concrete business goals
• Proficiency with programming languages such as Python, R, Java, SQL, and their open source packages/libraries
• Background in developing Deep Learning models (e.g. CNN, Recurrent, etc.) and its applications (object detection, text recognition, language modelling, etc.) and tools (e.g. TensorFlow, PyTorch, Keras, Fast.ai, etc.)
• Ability to travel as required to support firm engagements
• Applicant must possess or be eligible for a U.S. Government clearance