Data Scientist Job Kitchener area,Waterloo Ontario Canada,IT/Tech

Location: Waterloo

Job Description

Role Summary

Within Sun Life, the Data Science Chapter comprises of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client centric. An integral part of the Data and Analytics organization, the Data Science Chapter supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value.

Reporting to the Data Science Manager as a Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Sun Life views success in this role in demonstration of these key attributes:

Fierce curiosity. You are drawn to discovering and leveraging data and taking on challenging business problems.
An inquisitive mind. Driven to ask questions to help lead projects to business value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems.
Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured data.
Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

Key Responsibilities:

Data Science and Machine Learning

Translate business goals into analytical problems;
Identify optimal algorithms, statistical techniques, traditional ML suitable for the business problem at hand.

Work in cross-functional teams to develop ML/data science products

Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation

Focus on feature engineering, model training and model evaluation

Use AWS services including Sage Maker, Lambda and other AI/ML services

Work with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.

Technical Leadership & Collaboration

Break down broader data science development milestones into actionable goals, activities, and work plans

Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations

Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders

Champion continuous improvement and foster innovation within the analytics community

Education & Experience

Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, or related field (or equivalent experience)

1-2 years of experience developing and implementing data science solutions

Technical Skills

Programming
:
Proficient in Python for data science and application development

Data Engineering
:
Experience writing complex SQL and PySpark queries to extract and integrate data from multiple sources

Statistical Knowledge
:
Solid understanding of hypothesis testing, causal inference, and model evaluation metrics

Cloud Platform
:
Experience with AWS, particularly Sage Maker for training and deploying ML models

Machine Learning
:
Proficiency in supervised and unsupervised models

Data Handling
:
Demonstrated experience in data transformation, manipulation, and working with structured vs. unstructured data

Architecture
:
Strong understanding of APIs, microservices architecture, and cloud-native development

Core Competencies

Exceptional communication skills to articulate complex technical concepts to both technical and non-technical audiences

Effective oral and written storytelling and insights communication abilities

Proven ability to manage multiple projects simultaneously with changing deadlines and priorities

Strong problem-solving abilities and analytical skills with keen attention to detail

Preferred Qualifications

Hands-on experience with GenAI frameworks and LLM APIs, including developing AI bots/agents with reasoning and tool-use capabilities

Deep understanding of RAG techniques, prompt engineering, and fine-tuning methodologies

Familiarity with vector databases and embedding models

Experience with containerization (Docker) and CI/CD concepts

Unique Requirements:

As a condition of the role, the successful candidate must obtain a Government of Canada Reliability Status security clearance through Sun Life.

To see if you are eligible for this clearance, please review the section 201 on the Federal Government site ( 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…


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