Head of Data Science (Calgary)

At , our purpose is to address the economic challenges from the pandemic. Governments issued large stimulus checks, creating a gap between the real economy and financial policies.

Now, we face high inflation and interest rates, with tough conditions that might last longer due to global events. The most affected are young adults starting their careers, new immigrants, and low-income families, often with little savings and no access to credit.

We assist hardworking people with low credit scores in finding homes and building credit through rent payments, opening doors to financial opportunities like credit cards, car financing, and mortgages.

Traditional credit checks don’t tell the whole story, causing many good tenants to be turned away. LeaseLift uses advanced AI technology to help reliable tenants with low credit scores find homes while giving landlords confidence in their choices. This improves occupancy rates and reduces losses from fraud, defaults, evictions, and property damage.

Join us at LeaseLift to create stable communities, support deserving individuals, and transform lives with innovative technology. Together, we can build a brighter future for everyone.

About the Role

We encourage joining our Chicago and Calgary offices, but remote work opportunities are available across North America.

Responsibilities:

• Identify valuable data sources and automate collection processes.

• Undertake preprocessing of structured and unstructured data.

• Analyze large amounts of information to discover trends and patterns.

• Build predictive models and machine-learning algorithms.

• Combine models through ensemble modeling.

• Present information using data visualization techniques.

• Propose solutions and strategies to business challenges.

• Collaborate with engineering and product development teams.

Qualifications:

• Proven experience as a Data Scientist working with consumer data, banking transaction history or credit behavior analytics.

• Created or contributed to models used to make decisions, such as underwriting loans or predicting defaults.

• Ability to articulate business outcomes directly affected by models you created.

• Strong understanding of statistics and data analysis.

• Excellent problem-solving skills and business acumen.

• BSc/BA in Computer Science, Engineering, or a relevant field

• MSc or PhD in Data Science or other quantitative field preferred.

Bonus Technical Skills:

• Machine learning frameworks like TensorFlow and PyTorch.

• Programming languages such as Python, R, and SQL.

• Big data tools (e.g., Hadoop, Spark).

• Data visualization tools (e.g., Tableau, Power BI).

Benefits and Perks:

• Competitive compensation and equity options.

• Thrive in a flat structure with minimal meetings.

• Work on innovative machine learning models with real-world impact.

• Make a meaningful difference in people’s lives post-pandemic.

• Experience the makings of building a fast-growing company.

Ready to Apply?

Please click the ‘Apply’ button.