Senior Data Scientist (Health)
Sun Life Toronto One York
Sun LifeSun Life is a financial services company providing financial planning, life insurance, health insurance, investments and more.
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.
To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.
The DSA team is responsible for:
Being the analytics translators to identify and deliver high-impact data science use cases
Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems
Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making
The Senior Data Scientist’s primary focus is to lead the data and analytics initiatives for digital health products. in this role, you will be a thought partner and work closely with the assigned portfolio to assess data and analytics requirements. You will need to gain an in-depth understanding of the business needs, overall objectives and goals of different health initiatives, in order to propose use cases, ideas and solutions that enable the success of the relevant products.
What Will You Do?
Work with product to provide data and analytics expertise during discovery and to ensure analytics requirements are in place for new features/enhancements
Work with operations to ensure ongoing data needs are met by dashboards and to assess data and analytics ad-hoc needs
Identify potential data science/machine learning opportunities, create and execute end to end plan for implementation and delivery
Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes
Create and maintain ETL processes and automated dashboards that can be leveraged to find insights
Develop and present reporting solutions to key stakeholders and partners
Learn about business processes to analyze, interpret, and advise managers on analytical findings
Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
Understand and incorporate technology best practices with a primary focus on Tableau and Python
Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk
What Do You Need To Succeed?
Coding experience preferably in Python (minimum 3 years)
Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)
Familiar with data science project life cycle
Strong problem solving and analytical skills
Demonstrated ability to produce meaningful results from data
Proven experience consolidating and analyzing data sources
Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
Comfortable learning new applications quickly with minimal direction
Proven ability to work collaboratively within a cross functional team environment
Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
Attention to detail and in-depth planning, organizational and time management skills
Experience working with relational databases and creating data models with efficient design
Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.
Experience with AWS SageMaker would be an asset.
Experience in healthcare and familiarity with health data would be an asset.
The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.
Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.
Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to email@example.com.
At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.
We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.
Salary Range:76,000/76 000 - 125,000/125 000
Job Category:Advanced Analytics
Posting End Date:30/11/2023
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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