Data Scientist

2 weeks ago

Regina, Canada Saskatchewan Government Insurance Full time

Do you value integrity and innovation? How about passion and caring? Great Us too, and that's why you'll fit right in. Our intentional culture promotes trust and participation, encouraging you to bring your heart and mind to work every day.

General Accountability

Multiple Positions

The Data Scientist is an analytics expert who uses their understanding of statistical models, machine learning algorithms, and scientific methods to extract insights from large amounts of structured and unstructured data to answer high-priority questions asked by the business and help them make data-driven decisions to deliver better products at SGI. This role applies data mining techniques, statistical analysis, and builds prediction systems integrated with the products. This role uses models to test the effectiveness of different courses of action. The Data Scientist creates algorithms and runs simulations to drive business results with their data-based insights. This role is expected to handle sensitive or confidential data in adherence to data governance standards and impact decisions at an executive level.

Their primary focus will be creating predictive and prescriptive analytical models that allow the business to improve products and processes. These machine learning models will enable artificial intelligence within the business process to automate decision-making processes.

Key Accountabilities

Note: This section is not intended to be an exhaustive list of duties and responsibilities - other duties and responsibilities may be assigned.

Machine Learning/Predictive Modeling (55%)- Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.- Liaises with lines of business and corporate functions on data science requirements.- Develops a deep understanding of advanced analytics to identify, evaluate, and recommend data solutions that support evolving business strategies, operations, and processes.- Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.- Uses predictive modeling to increase and optimize customer experiences, revenue generation, workflow decisions, and other business outcomes.- Develops A/B testing framework to test model quality.- Coordinates with different functional teams to implement models and monitor outcomes.- Assists in the development of processes and tools to monitor and analyze model performance and data accuracy.-
- Creates automated anomaly detection systems and tracks its performance.-
- Conducts advanced analysis to proactively uncover new trends or perspectives on client data and provides findings to the business unit to assist with decision-making based on scientific thinking.- Conducts complete advanced analytics project cycle from end to end: idea generation; framing the problem; identifying sources of data; selecting the methodology for the solution; and modeling, deploying, and monitoring the solution.- Works with Business Insights and Analytics Report Development teams to identify, implement, and monitor the performance of predictive models to execute the business strategy.

Advanced Analytics Support (25%)- Assists in the assessment of the effectiveness and accuracy of new data sources and data gathering techniques.- Researches and tests third party sources of information that will improve the company’s data.- Enhances data collection procedures to include information that is relevant for building analytics systems.- Researches and evaluates data for the development, analysis, interpretation, and reporting of performance indicators, benchmarking, and opportunities for the business unit.- Provides information in a clear, relevant format, such as a dashboard, graph, report, or presentation, to facilitate and support timely decision-making for operational areas through understanding business needs.- Consults with Data Engineer to create and improve data assets and pipelines that improve the advanced analytics process.

Leadership (10%)- Actively contributes to and supports a culture of high performing workforce.- Participates in divisional succession plans, ensuring ongoing professional and career development and supports development in others.- Supports a culture of leadership and accountability to effectively deliver on strategic and corporate strategies.- Is actively committed to leadership development across the company, supporting team and workforce readiness through mentoring, training, and developmental opportunities.

Corporate Management (10%)- Enables the success of programs and policies that are in alignment with corporate, strategic, and divisional strategies.- Manages risk in area of authority.- Ensures that the Health, Safety and Emergency Management Policy is applied in area of responsibility.

Education and Experience- A four-year degree from an accredited post-secondary educational institution

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