Data Scientist

Data Scientist

Who We Are

Teranet is Canadas leader in the delivery and transformation of statutory registry services with extensive expertise in land and commercial registries. We also market insightful property and data solutions as well as practice management automation to thousands of customers in the real estate financial services government utilities and legal markets.

Connect. Grow. Thrive Together.

To learn more about who we are visit our website:

About the Role

The Data & Analytics team within the Commercial Solutions line of business has an ambitious mandate where we are accountable for leveraging Data & Analytics to deliver business value both internally as well as to external clients through the following:

• Enhance existing or create new products and services with proprietary data assets and partnering with external data providers through the application of data analytics

• Design and deliver custom data solutions to fulfill specific client needs

• Explore and analyze data to generate business insights to enhance decision-making

• Demonstrate thought leadership in the ecosystem in which we operate

• Identify and implement opportunities for operational efficiencies across the organization

In addition this team will play an important role in evangelizing and educating of the value of Data & Analytics to the rest of the organization in support of cultivating a data-driven culture.

You will play a key role in our dynamic team taking accountability for the design development implementation and maintenance of cutting-edge Machine Learning models. As a vital member of the Data Science team the role involves collaborating closely on Machine Learning (ML) and Artificial Intelligence (AI) product design and development.

The primary focus will be on supporting data products/services and operational efficiency initiatives. This includes a special emphasis on providing tailored products for Financial Solutions business and expanding these capabilities across the organization to address a diverse range of AI needs. Join us in shaping the future of our data-driven initiatives and contributing to innovative solutions that make a meaningful impact.

Reason for Vacancy: Replacement

What Youll Be Doing

The Data Scientist is accountable for the entire lifecycle of each assigned ML/AI use case from gathering business requirements all the way to production and maintenance.

Data Science and ML modelling (70%)

• Engage with stakeholders to understand business requirements and objectives of ML/AI use cases

• Identify and acquire the best data sources available to meet use case objectives. Explore data to build foundational data knowledge in subject domain in partnership with data owners

• Develop cutting-edge ML models tailored to identified use cases and ensure the accuracy reliability and innovation of these models is crucial for making impactful contributions to our data-driven initiatives.

• Collaborate closely with Data and MLOps Engineers to implement the models in the Big Data Platform leveraging cloud technologies.

• Present technical analyses in a meaningful and intuitive manner in accordance with the target audience

• For each use case thoroughly document the objectives analysis process methods and findings to meet quality standards and production requirements

• Continuously monitor and fine tune model performance by evaluating new or revised data sources modelling techniques and tools

• Identify evaluate and manage external vendors for specialized skills

• Actively partner with the Data Governance team to ensure that the use of data for each use case complies with Teranet policies and procedures

Contribute to developing Teranet Data & Analytics team to be best-in-class (20%)

• Be attuned to the latest developments in Data & Analytics and share learnings and ideas with team to cultivate a spirit of innovation

• As a team develop framework to standardize analysis processes methodologies and documentation

• Provide feedback and suggestions to enhance and evolve our Analytics program to better meet our corporate goals

• Evangelize the value of Data & Analytics at Teranet through engagement with the rest of the organization

Mentoring and coaching junior team members (10%)

• Delegate data collection extraction analysis and/or visualization tasks to more junior members of the team in support of the delivery of the ML/AI use cases

• Provide direction for and review the assigned work

• Provide learning and growth opportunities to support the professional development of other team members

What you need to be successful:

You are someone who:

• Is keen to understand the business data science cannot be done in a vacuum we need to be close to the business so that we understand what we are trying to solve for and what the data means

• Tells stories from data data analytics is not data dump it needs to be meaningful and intuitive to the end user in order to realize the inherent business value

• Challenges the status quo the state of business and the field of data science are constantly evolving and we need to as well. Assumptions and old ways of doing things are open season as long as you bring along workable and relevant solutions articulated in a professional manner. Proactively pursue and learn about new analytical tools and methodologies to solve problems in new and innovative ways.

• Is good at problem solving someone who can connect the dots and have a logical and methodical way to tackle new and complex problems

• Takes pride in your work your work is diligent and thorough and you are proud of your reputation for high-quality and reliable work

• Is a quick study the successful candidate must be curious resourceful and dig into the weeds to ask the right questions and figure things out independently

Technical Qualifications:

• Graduate degree in quantitative field (Data Science Statistics Economics Computer Science Engineering or related). Equivalent professional experience will be considered.

• 5 years of proficiency in Python programming language with a strong emphasis on Machine Learning applications.

• Proven experience building advanced regression and predictive models including boosting model stacking and non-parametric methods.

• Strong foundation in statistical modeling and inference able to design experiments assess model assumptions and apply appropriate statistical techniques to real-world data.

• Practical experience with cloud computing environments (Azure AWS or Google Cloud) and distributed data processing (PySpark).

• Experience with data query languages such as SQL.

• Skills in data visualization tools such as Tableau for effective presentation of analytical findings.

Bonus Skills:

• Experience in spatial data science or real estate valuation models

• Background in applied econometrics or advanced statistical analysis

• Expertise in time series forecasting using traditional and neural network based methods for trend and demand prediction

• Proficiency in deep learning techniques (e.g. feedforward convolutional or transformer models) for complex regression and pattern recognition tasks.

Lets Talk Pay

We believe in being upfront about pay and helping you make informed decisions about your career. The annual pay range for this role is $125000-$137500 CAD inclusive of base salary and target incentive pay. We understand that great talent comes in many forms each with unique skills experience and potential. Your salary will be tailored to reflect the experience you bring and the impact youre ready to have on this role.

At Teranet we also know that compensation extends far beyond a pay cheque. Along with your cash compensation we offer a comprehensive package which includes the following:

• 100% Employer Paid Health Benefit Plan

• Employer Matching Retirement Savings Plan

• Paid Vacation Floater Days & Sick Leaves

• Maternity Parental and/or Adoption Leave Top-Up Programs

• Corporate Discounts & GoodLife Group Rate Membership

• Employee Assistance Program for you and your loved ones!

Our Human Approach to Hiring

At Teranet we use smart technology to make hiring faster and more efficient. Artificial Intelligence (AI) tools help us review applications and identify strong matchesbut the real decisions Those are made by our awesome people.

Every interaction youll have and every decision we make is led by humans. AI may support us but its human connection that drives every hire.

At Teranet we are committed to fostering an inclusive accessible environment where all employees and customers feel valued respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and the communities in which we live and serve. If you require accommodation during the recruitment and selection process please let us know and we will work with you to meet your needs.

Come As You Are. We Like You that Way!