Data Scientist

Data Scientist

Direct message the job poster from Teranet Inc.

Who We Are

Teranet is Canada’s 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 : www.teranet.ca

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 the value of Data & Analytics to the rest of the organization, in support of cultivating a data‑driven culture.

What You’ll 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

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

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.

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.

Why Teranet

We may be a global innovator in electronic services and solutions who operate one of the most advanced and secure registration systems in the world, but we’re so much more than that!

Our Extraordinary People

Together, we are passionate, driven, resourceful, and authentic. We continue to thrive because of our people and their powerful ideas, strong team spirit, ‘can‑do attitude, and unwavering dedication to our business and our clients.

Our people are smart, ambitious, and have big career goals. We not only encourage a culture of openly talking about our career aspirations but one where we truly invest in the continuous learning, development, and growth of our people.

Let’s face it. We spend a lot of our time working, so the atmosphere is everything! We believe in cultivating a work environment that makes our people feel comfortable, engaged, appreciated, and happy.

Company Culture & Core Values

Our company culture and core values are the core of our identity. They define who we are, how we engage with each other and our clients, and how we conduct business every day.

What We Offer

Market‑competitive pay structure

Maternity, Parental and / or Adoption Leave Top‑Up Program

Retirement Savings Plans with Employer Matching Scheme

Ongoing Financial Wellness Seminars

Corporate Discounted Programs + Wellness Program

Employee Assistance Program (EAP) for employees and their families

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!

Seniority level : Mid‑Senior level

Employment type : Full‑time

Job function : Information Technology

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