Manager- Data Science

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.

**Sun Life views success in this role in demonstration of these key attributes**:
**Fierce curiosity**. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. **An inquisitive mind.** Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. **A passion for solving problems.** The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. **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 (SQL) **Thirst for learning.** You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.**What will you do?**
- Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.
- Be able to work in cross functional teams to develop an ML/data science product
- Be able to break down broader data science development milestones into smaller goals, activities, and a work plan
- Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling
- Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.
- Make business recommendations with effective presentations of findings at multiple levels of stakeholders
- An active contributing member to the analytics community to help foster and grow the data science community at Sun Life
- Champion and support diversity and inclusion

**What will you need to succeed?**
- BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience
- 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)
- Atleast 1 years experience leading or coaching technical teams
- Comfortable writing complex SQL queries to extract and integrate data from multiple database sources
- Proficient in using one or more statistical programming languages (i.e., Python) for data science
- Experience with AWS services including SageMaker
- Experience with machine learning including supervised and unsupervised models
- Demonstrated experience in data transformation & data manipulation
- Experience working with Structured vs. Unstructured data
- Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable
- Effective and concise oral and written storytelling and insights communication skills
- Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
- Ability to document work and effectively prioritize documentation
- Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

**What will be nice to have?**
- Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)
- Past experience working in Agile delivery model
- Past experience in developing and deploying production grade model in cloud infrastructure

**Unique Requirements**

**What's in it for you?**
- Remote/ Hybrid Work environment
- Competitive salary and bonus structure influenced by market range data
- 20 days vacation per year and an innovative sabbatical program
- A friendly, collaborative and inclusive culture
- Being part of our Analytics community, where we share best practices and broaden skill-sets
- Flexible Benefits from the day you join to meet the needs of you and your family
- Pension, stock and savings programs to help build and enhance your future financial security
- Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

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 requi