Manager, Data Scientist

KPMG is currently
seeking a Manager to join our KPMG Lighthouse - Center of Excellence for Advanced
Analytics.

Responsibilities:

• Translate advanced business analytics problems into
  technical approaches that yield actionable recommendations, in diverse
  domains. Communicate technical details of solution, including mathematical
  formulations, alternatives, and impact on modeling approach to business
  stakeholders across industries (technology, financial services, emerging
  tech, government agencies - federal, state and local, and utilities).
• Plan engagement objectives, key deliverables, and
  deliver on engagement milestones by following analytics processes; Work
  with clients to discover, retrieve, prepare, and process a variety of data
  sources (social media, news, internal/external documents, emails,
  financial, and operational).
• Work internally within KPMG's other areas within Tax,
  Audit and Advisory to advance the client understanding of Data Science,
  Artificial Intelligence, and Advanced Analytics; Work very closely with
  emerging technologies group within AI service providers (e.g., AWS, GCP,
  Azure) to provide a first-in-market solution approaches to complex
  business problems.
• Lead multi-disciplinary and cross-functional teams to
  rapidly iterate models and results to refine and validate approach; Lead
  team in a fast-paced and dynamic environment with both virtual and
  face-to-face interactions; Utilize structured approaches to solving
  problems, managing risks, and multiple responsibilities using structured
  approaches for operational excellence; Communicate results to executive
  level audiences.
• Leverage deep technical knowledge to build, review, and
  quality control code to prepare, extract, and enrich data sources, working
  with the business to understand available resources and constraints around
  data. Lead team in exploratory data analysis, generating and testing
  working hypotheses, and uncovering interesting trends and relationships. Provide
  expert oversight for teams building machine learning algorithms and data
  science solutions.
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:

• Minimum
  of five years of experience leading teams of at least five data
  scientists, engineers, and other data & analytics professionals,
  including business development, requirements gathering, people
  development, and quality management using 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, Statistics,
  Data Science, Engineering, or related fields; PhD from an accredited
  college/university is preferred
• Proficiency
  in delivering analytics projects using leading processes including expert
  knowledge of data discovery, cleaning, model selection, validation, and
  deployment; Ability to work with team members and clients to assess needs,
  provide assistance, and resolve problems.
• Ability
  to apply artificial intelligence techniques to achieve concrete business
  goals; ability to work with the business to understand available resources
  and 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.
• Ability
  to utilize a diverse array of technologies and tools as needed, to deliver
  insights, such as fluency in Python or R; Experience with SQL and cloud
  technology preferred; 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 up to eighty percent of the time;
  Applicants must be currently authorized to work in the United States
  without the need for visa sponsorship now or in the future.