- Environment Primarily indoor/office work
- Education Post-secondary degree
- Average salary $70,000 to $121,000
Career profile
Data scientists analyze and profile large, complex, multi-dimensional datasets using a variety of tools. This analysis is used to find patterns, anomalies, and optimization opportunities as well as provide predictive analytics for the company’s consideration. They focus on research, design and implementation of cutting-edge algorithms and models to ensure the company’s data analysis benefits from new developments in data science. Data scientists also provide expertise and advocacy about data science processes and solutions. They provide project teams and corporate leadership with information and insight into the meaning of vast quantities of data for consideration in decisions that impact corporate planning and operations.
In large companies, data scientists typically lead analytic practices in cross-functional teams to identify and prioritize actionable and impactful insights across core business areas.
In this occupation activities may include:
- Proficiency with analytics scripting languages such as Python, R, SQL and statistical analysis environments such as MATLAB, SPSS or SAS
- Experience with lamda architectures and batch and real-time data streams
- Experience in industry data science (e.g., machine learning, predictive maintenance)
- Experience with agile or other rapid development methods
- Experienced in object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data
Education
- The typical minimum academic requirement is a bachelor’s degree in computing science, statistics, actuarial sciences, statistics, mathematics or computer engineering.
Certifications
- Certification is not required, as there is currently no legislation regulating this occupation.
- Minimal or no travel
- Primarily indoor/office work
- Work not physically demanding
You are consistently working to make things run better or more efficiently. You can transform a sea of data into actionable insights-from finding better ways to schedule deliveries to discovering ways to optimize a reservoir. Combining your knowledge of computer science, statistics, and analytics, you can find answers that will help organizations make objective decisions.
- Computers and Electronics
- Customer and Personal Service
- Information and Document Management
- Cyber/Data Security
- Mathematics
- Understanding Risk
- Interpreting Documents/Plans
- Programming
- Complex Problem Solving
- Cost Benefit Analysis
- Persuasion
- Innovative
