Data Scientist

Pendo; Canada; On-site; CAD 130,000 - 183,000; Full time

Job summary

A leading real estate technology company in Canada is seeking a highly analytical Data Scientist to drive data science initiatives within their pricing team. This role involves designing metrics, conducting A/B tests, and developing statistical models to enhance pricing strategies. The ideal candidate has over 5 years of data science experience, strong proficiency in SQL and Python, and excellent problem-solving skills. This position offers a competitive salary and comprehensive benefits.

Benefits

Unlimited PTO

Medical/dental/vision insurance

Life insurance

401(k)

Qualifications

• 5+ years of experience in data science or analytics.
• Proven track record of driving measurable business outcomes.
• Experience with pricing or marketplace dynamics.

Responsibilities

• Lead analytical deep dives to diagnose pricing performance.
• Run A/B tests and advanced statistical analyses.
• Develop and automate dashboards and data pipelines.

Skills

Expert-level proficiency in SQL

Strong proficiency in Python

Deep understanding of statistical inference

Experience with A/B testing platforms

Experience with large-scale data processing

Strong business acumen

Exceptional problem-solving skills

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Snowflake

Redshift

Spark/PySpark

Airflow

dbt

Job description

We are seeking a highly analytical and strategic Data Scientist to join our Pricing team at Opendoor. This role sits at the intersection of data science, pricing, and business strategy — driving insights, experimentation, and algorithmic improvements that directly shape how we price, buy and sell homes.

You’ll lead analytical initiatives that drive pricing decisions — from defining key metrics and building dashboards to running A/B tests, developing statistical models, and designing data-driven strategies that improve pricing accuracy and conversion. The work spans both structured, end-to-end projects and fast-paced, ad-hoc analyses that leverage statistical inference and modeling to uncover insights and shape business strategy.

What You’ll Need

• Expert-level proficiency in SQL for complex analysis and data modeling.
• Strong proficiency in Python (pandas, numpy, scikit-learn, statsmodels, etc.) for analytics and modeling.
• Deep understanding of statistical inference, regression analysis, and experimental design.
• Experience with A/B testing platforms, BI tools (e.g., Quicksight, Tableau, or similar), and data warehouses (Snowflake, Redshift).
• Experience working with large-scale, distributed data processing (e.g., Spark/PySpark, Dask) and modern data orchestration tools (e.g., Airflow or dbt) is a plus
• Bachelor’s or Master’s degree in a quantitative field (Statistics, Economics, Computer Science, Applied Math, Engineering, or related).
• 5+ years of experience in data science or analytics, preferably within pricing, marketplace dynamics, or experimentation-heavy product environments.
• Proven track record of driving measurable business outcomes through data.
• Strong business acumen and ability to translate analytical findings into strategic, actionable insights.
• Excellent communication and storytelling skills, including the ability to influence and present complex analyses to senior leadership.
• Exceptional problem-solving skills with a demonstrated ability to tackle ambiguous, open-ended, and cross-functional business challenges.

What You’ll Do

• Lead analytical deep dives to diagnose pricing performance, uncover market dynamics, and identify opportunities to improve business outcomes.
• Design and implement robust metrics and pricing frameworks to evaluate new housing features, pricing algorithms, and operational initiatives.
• Run A/B tests and advanced statistical analyses — including causal inference and regression modeling — to measure impact and guide decision-making.
• Develop and iterate predictive and statistical models that capture market behavior, price elasticity, and demand patterns to inform pricing strategy.
• Partner with Product, Engineering, Research and Operations to shape experimentation roadmaps and ensure successful model deployment and monitoring.
• Develop and automate dashboards and data pipelines that enable real-time tracking of pricing and market performance metrics.
• Prototype and operationalize data-driven strategies that enhance pricing accuracy.
• Synthesize and communicate findings through clear, actionable insights and recommendations to senior leadership, influencing company-level pricing strategy.

Compensation

The base pay range for this positionis $130,000.00 - $182,600.00 annually, plus RSUs and bonuses. Paywithin this range varies by work locationand may also depend on your qualifications, job-related knowledge, skills,and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

About us

Powering life’s progress, one move at a time. Since 2014, we’ve been reinventing life’s most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain.

We’re a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it’s starting a family, taking a new job, or making a life change, we help people move forward with confidence.

This description contains information about Opendoor and its policies. Opendoor is an equal employment opportunity employer. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here.

We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise.

At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at [e-mail].