Head of Data Science (Chicago)

At LeaseLift.ai , 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 : Develop and execute a comprehensive data strategy aligned with company goals. 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. Work closely with the founders, engineering, and product counterparts to integrate data-driven insights into decision-making processes.

Hire, mentor, and manage a high-performing data science team. Qualifications : Minimum of 10-15 years in data science roles in the lending or insurance industries, with at least 5 years in a leadership position.

Demonstrated success in leveraging data science to drive significant business outcomes, particularly in consumer data, banking transaction history, or credit behavior analytics.

Excellent presentation and communication skills, with the ability to convey complex data insights to non-technical stakeholders.

Strong understanding of statistics and data analysis. Excellent problem-solving skills and business acumen. MSc or PhD in Data Science, Computer Science, Engineering, or a related quantitative field.

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.

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