Senior Data Scientist @ Tricon Residential

Tricon Residential is an owner and operator of a growing portfolio of more than 38,000 single-family rental homes in the U.S. Sun Belt and multi-family apartments in Canada. Our commitment to enriching the lives of our employees, residents and local communities underpins Tricon’s culture and business philosophy. We provide high-quality rental housing options for families across the United States and Canada through our technology-enabled operating platform and dedicated on-the-ground operating teams. Our development programs are also delivering thousands of new rental homes and apartments as part of our commitment to help solve the housing supply shortage. At Tricon, we imagine a world where housing unlocks life’s potential. For more information, visit Tricon Residential.

Job Description

The Senior Data Scientist leverages a deep understanding of technology, data analytics, and financial modeling to solve complex business problems, collaborating with cross-functional teams to develop predictive models, analyze financial data, and implement cutting-edge analytics solutions that drive key business decisions.

Essential Duties and Responsibilitiesinclude the following but are not limited to the job specifications contained herein. Additional duties or job functions that can be performed safely may be required as deemed necessary by supervisory personnel.

Lead the development and deployment of machine learning models and financial analytics tools to optimize business and financial strategies.
Analyze large datasets from various sources to generate actionable insights related to financial performance, risk management, forecasting, and pricing.
Design and implement statistical models to identify trends, correlations, and opportunities for business growth and process improvement.
Collaborate with finance, operations and leadership teams to translate financial and business needs into data science solutions.
Perform financial forecasting, scenario analysis and risk modeling using advanced data science techniques.
Present data-driven insights and recommendations to senior leadership, driving strategic business decisions.
Mentor and guide junior data scientists, ensuring best practices in model development, testing and deployment.
Stay current with advancements in machine learning, data science and financial technologies to continuously improve processes and models.
Lead A/B testing, evaluate model performance using appropriate metrics, and refine models as needed.
Partner with stakeholders across the business to define key financial metrics and develop reports and dashboards for executive-level consumption.

Qualifications:

Proficiency in programming languages such as Python, R, and SQL for data manipulation and model development.
Proven experience with financial modeling, risk assessment, and quantitative finance techniques.
Strong background in machine learning algorithms (e.g., regression, classification, clustering, time series forecasting) and their application in business and finance.
Excellent communication skills, with the ability to present complex financial data and analysis to non-technical audiences.
Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
Proven track record of applying data science techniques to drive financial performance and solve business problems.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data tools is a plus.
Experience working with financial data, such as stock prices, credit scores, or financial forecasting.
Knowledge of time series forecasting, econometrics, and optimization techniques.
Expertise in statistical modeling, financial risk analysis, or algorithmic trading.
Experience with tools like TensorFlow, PyTorch, or scikit-learn for machine learning model development.

Minimum Requirements:

At least 8 years of hands-on experience in data science, machine learning, and statistical analysis, with a focus on financial data and business decision-making.
Bachelor’s degree or equivalent work experience

Preferred Qualifications:

MBA in Finance from an accredited institution, with a strong understanding of business and financial analysis.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job, including:

Frequently required to sit, talk, and hear.
Frequently required to stand and move; use hands to grasp, squeeze, finger, handle, and feel; reach, push, and pull with hands and arms; occasionally required to twist; reach overhead; stoop, kneel, squat, bend, and crouch.
Occasionally lift, carry, and move up to 10 pounds.
Vision abilities required by this job include close vision, distance vision and depth perception.

At Tricon, we are committed to creating a workplace where every individual is valued for their unique contributions, experiences, voices, and backgrounds. By embracing these principles, we aim to positively impact our business and the communities we serve, creating a lasting legacy where everyone can thrive.

Senior Data Scientist

Tricon Residential

6 month growth

1 year growth

2 year growth

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