Senior Specialist, Data Scientist

Key Skills

Java Programming, Management, Python Programming, SQL, Azure, AWS, Aartificial intelligence, Machine learning techniques, Data science techniques, Data Mining, Deep Learning, Data Modeling, Google Cloud Platform (GCP), R Programming, Algorithms, SPARK Programming, Common data structures

Job Description

The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. 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 make sure 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:

• Support Data Science and Machine Learning intensive engagements with a primary focus on client delivery and project management of teams with Data Scientists, Data Engineers, Business Consultants and translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (product development, marketing research, supply chain, technology process, and public policy)
• Undertake necessary statistical analysis using Natural Language Processing to mine unstructured data, using a variety of methods (document clustering, topic analysis, names entity recognition, document classification, and sentiment analysis) as part of the overall Machine Learning initiative set forth for the engagement
• Analyze structured and unstructured data, understand and implement algorithms, and support analysis using advanced statistical and mathematical methods form emerging areas in pattern analysis, machine learning, deep learning, data mining, econometrics, and operations research
• Support workshops around emerging technologies in associated areas of Machine Learning, with both business clients and technical clients utilizing processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements across different areas (technology, financial services, emerging tech, government agencies - federal, state, local, and utilities)
• Function in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, deliverables, risks, and multiple responsibilities using structured approaches for operational excellence while communicating results to executive level audiences
• Plan and manage objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation, and delivery 

Qualifications:

• A minimum of three years of technical data science experience; U.S. Federal government consulting experience 
• Bachelor's degree from an accredited college/university
• 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 restructure, refactor, and optimize code for efficiency
• Problem-solving ability through the use and/or development of data science algorithms, models, testing, etc.; ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, Python, Spark, and emerging Cloud Capabilities on Azure, GCP and/or AWS; experience with command-line scripting, data structures, and algorithms
• Ability to obtain a U.S. Federal government security clearance within a reasonable period of time, which requires U.S. Citizenship