About the role:
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns and build data products to extract valuable business insights. Your responsibilities include:
- Identify valuable data sources and automate collection processes
- Undertake pre-processing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models through the application of machine-learning algorithms
- Combine models through ensemble modelling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Candidate must have NV1 Clearance to be considered for this role.
About you: You will have the ability to help clients execute end-to-end data science projects using proven methodologies like CRISP-DM and enable them to analyze trends, find patterns, predict next best action, use artificial intelligence for automating processes, making accurate predictions and better business decisions.
Essential skills and experience: - Proven experience as a Data Scientist
- Experience in data mining, statistical methods, machine-learning and operations research
- Strong knowledge of and experience in R, SQL and Python; experience with Spark, Scala, Java or C++ is an asset
- Experience using Data Science tools (e.g. SAS EM, Alteryx, IBM Modeller, Knime) and
- Experience using business intelligence tools (e.g. Power BI, QlikView, Tableau etc.) and data frameworks (e.g. Hadoop)
- Analytical mind, business acumen, strong math skills (e.g. statistics, algebra) and problem-solving aptitude
- Excellent communication and presentation skills
- B.Sc. in Computer Science, Mathematics, Engineering or relevant field; graduate degree in Data Science or any other quantitative field is preferred.