Data Scientist

Company Name: KPMG
Location: Toronto, ON, Canada
Date Posted: 31st Jan, 2017
  • 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.
  • Propose and develop results, models and rules engines using statistical, machine learning, Natural Language Processing, Linear Programming, etc.
  • Work with large volumes of data (structured and unstructured). Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes
  • Perform quantitative analysis of data issues
  • Come to work with an intrinsic desire to change your world
  • Inspire a very smart and talented team to be better at what they already do and innovate in new areas
  • Lead engagements and teams to successful outcomes with a focus on problem solving and execution
  • Understand the business challenge, the data points associated with that scenario and be able to formulate solutions through the application of people, process, technology and data
  • Be a thought leader in your area of expertise.



Skills & Qualifications:

  • An insatiable curiosity to learn, an aptitude to figure it out and a hunger to make a difference
  • Strong communication and interpersonal skills
  • Ability to think critically and laterally – problem solve and innovate within a team environment
  • High level of attention to detail, excellent time management skills, ability to perform under pressure
  • Post-Secondary education equivalent to a university degree in numerate or analytical disciplines such as Mathematics, Computer Science, or Engineering. (Candidates with the equivalent of a Master’s degree in a relevant subject including, but not limited to Mathematics, Science, Engineering, Business Administration, Marketing, Operational Research, Economics, Statistics , AI, Computer Science or a related field etc. will be preferred.)

Technical skills:

  • A successful track record of leading large scale Data Driven engagements within integrated, multi-disciplinary project teams
  • Proven data extraction, analysis, cleansing, quality and manipulation skills, as well as experience handling very large volumes of data
  • Well versed with the Software Development Lifecycle, Product Management, Principles of Software Engineering or Data Mining Methodologies
  • Extensive experience with standard statistical packages or Languages (R, Python, MATLAB, SAS, SPSS, etc.)
  • Proficiency in scripting (Perl, PowerShell, etc.)
  • Experience with programming languages such as (Python, Java, C, C++, etc.)
  • Prior exposure to tools like Alteryx, Tableau, Spotfire, PowerBI, etc.
  • Experience with Hadoop (HDFS, Hive, Pig, Informatica, ErWin, etc.), databases (SQL Server, Oracle, etc.), solution Definition and Application, and  methods (SDLC, PMLC)
  • Experience with embedded OS for IoT is a plus
  • Experience with Microsoft Hololens is a plus
  • Proficient in Microsoft PowerPoint, Excel, Access and Word