Data Scientist
Data Scientist
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Job Description
Position Title:Data Scientist
Reports To:Director Data Science
Department:Individual Data Analytics
Term:Permanent Full Time
Work Arrangements:This is a hybrid role. You will work in our office in Waterloo ON a minimum of two 2 assigned consecutive days every other week plus a fifth 5th) assigned day per month. You are welcome to work from the office more than the minimum requirement and there may be some roles that are required to work in our office more than the minimum requirement.
The Opportunity:Equitable is looking to fill the fulltime position of a Data Scientist. They will play a pivotal role in the Data Science lifecycle of delivering machine learning (ML) based solutions models and algorithms to improve business processes supporting the strategy and goals of Equitable specifically in the Individual Life business.
The majority of the work will be building ML solutions management and problem analysis data exploration and preparation data collection and integration and model operationalization. Some time will be spent on adhoc analytics and reporting supporting the projects. Supporting activities include project documentation R&D and data review. The newly hired data scientist will be a key interface between the Data Science team BI Team and the business units. The data scientist will be partnered up with a Machine Learning Engineer to work on projects. The data scientist will primarily be responsible for delivering a finalized algorithm and will influence data acquisition and model implementation. Candidates need to be selfdriven curious and innovative.
What you will be doing:
- Perform analysis with the business units to support ongoing decisionmaking and to identify quantifiable project value
- Perform requirement analysis with the business to gain situational context and generate hypotheses
- Own and deliver on projects of moderate scope and handle assigned tasks of more advanced scope
- Deliver and support models throughout the data science lifecycle: build test deploy monitor and improve
- Communicate results of analytics outcomes with business partners in an effective manner
- Implement measurement and documentation standards against all project work
- Innovate and find creative ways to source/use data to support modeling efforts
- Peer review other team members work
What you will bring:
- An advanced degree in computer science data science data analytics statistics applied mathematics or a related quantitative field is required. Alternate experience and education in equivalent areas such as economics engineering or physics is acceptable. Experience in more than one area is strongly preferred.Candidates must have a specialization in ML AI cognitive science or data science.
- Minimum of 2 years of experience specifically in statistical analysis predictive modelling machine learning and/or artificial intelligence
- Strong understanding of statistics and machine learning theory
- Practical knowledge of Python version control with Git ML libraries/frameworks MLOps tools (e.g. MLflow) and processes (e.g. data/concept drift monitoring)
- Good grasp of model bias mitigation strategies and fairnessaware metrics
- Knowledge of relational database design principles proficiency in MS SQL SQLite or similar platforms
- Experience with model deployment through APIs (onprem and cloud)
- Familiarity with data visualization tools (PowerBI Matplotlib etc.
Assets
- Experience migrating to and working in Microsoft Azure or similar cloud platforms
- Experience working in MS Server and Linux environments
- BI development experience
- Insurance and/or Financial Services experience
- Excellent business communication skills with nondata focused business partners
Whats in it for you:
- A healthy worklife balance with employee wellness top of mind
- Annual bonus program annual vacation allowance and companypaid benefits program
- An additional paid volunteer day each year so you can spend time giving back to the community
- Immediate enrollment in the companys pension program with employer matching
- Employee resource groups that support an inclusive work environment
- Tuition support and specialized program assistance
- An onsite fullservice cafeteria with a variety of daily options
- Discounts on company products and services and access to exclusive employee perks
- Regular EQ Together events focused on company togetherness and collaboration
As part of the recruitment/offer process you will be required to:
- Provide two professional references (minimum one supervisor and above
This role is open due to an existing vacancy.
To learn more about Equitable we encourage you to explore our organization.
At Equitable we are committed to providing equal access to employment opportunities across our organization. Please contact our HR team at if you would like to receive our job postings in an alternative format or require an accommodation with the application process.
#LIHybrid
Other details
- Job FamilyIndividual Contributor Non Transactional
- Pay TypeSalary
Employment Type
Full-Time
