Data Scientist
Description
The Data Scientist will work with clients to understand business issues, gather requirements, and develop data-driven recommendations and solutions. This involves utilizing advanced analytical techniques, leveraging various technologies and tools, and applying algorithms, models, and testing to solve complex business problems. The role requires proposing and developing solutions using statistics, machine learning, NLP, and linear programming, while working with large volumes of structured and unstructured data to build scalable data platform models and produce impactful algorithms. The individual will also perform quantitative analysis and communicate effectively with internal teams and clients.
What We're Looking For
Work closely with clients in understanding key business issues. Gather and analyze requirements to develop impactful recommendations and solutions. Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights. Problem solving ability through the use and/or development of algorithms, models, testing, etc. Propose and develop results, models and rules engines using statistics, machine learning, Natural Language Processing, Linear Programming, etc. Work with large volumes of data (structured and unstructured). Architect the data platform models for scalability, repeatability and performance to build data solutions. Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes. Perform quantitative analysis of data issues. Effectively communicate orally and written with peers within Data & Analytics teams, KPMG and the client.
Ideal Candidate
Education and professional working experience in math, statistics, operations research, engineering, computer science or econometrics. Expert knowledge in advance modeling techniques and mathematical models, algorithm use and optimization, and data science technologies. Understand the full spectrum of data feature retrieval, selection, and engineering; model technique selection, model build, implementation, monitoring and integration; interpretation of outputs, and development of recommendations. Capable of identifying commonalities across seemingly disparate analytics use cases, in order to identify unique ways of approaching modeling. Strong experience in advanced analytics, statistics, data mining, predictive analysis, time-series analysis, natural language processing and deep learning. Proficient at SQL, Python or R and popular ML frameworks and libraries. Experience in mainstream cloud services: such as AWS, MS Azure, GCP and their data analytics, ML tools.
Minimum Education
Degree in Math, Statistics, Operations Research, Engineering, Computer Science or Econometrics
Hard Skills
Soft Skills
Benefits
Comprehensive health and dental benefits, wellness subsidies, personal care days, retirement pension plans, flexible work arrangements, and extensive professional development support.
About the Company
KPMG LLP (Canada)
KPMG LLP is a Canadian limited liability partnership and a member firm of the KPMG global organization of independent member firms. It provides Audit, Tax, and Advisory services to public and private businesses, not-for-profit organizations, and public sector entities. With over 40 offices across Canada, KPMG leverages its deep industry knowledge to help clients navigate complex challenges and achieve sustainable growth.
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