Data Scientist - Jobs in Toronto, ON

Job Description

Why join usAre you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places If so, we would love to tell you our story.At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.This is an exciting opportunity to join the stellar Oxford properties team to harness the power of our data to transform the company’s investment process, operational efficiency, and end user experience.If you want a front row seat to reshaping the real estate industry, then this is the role for you. We are looking for a strategic mind capable of conceiving the art-of-the-possible, fused with the ability to creatively use data in order to solve sophisticated business problems.As a best-in-class real estate organization, Oxford has an ambitious plan to develop and leverage digital & analytic capabilities across the real estate value chain across acquisition, development, operations, and disposition at a global scale.Commercial Real Estate is a $200 Trillion industry that is larger than the public equities and bond market combined, and yet is only just being disrupted by technology.As a member of this team, you will be responsible for:Being part of a hardworking Data team reporting to the Senior Director of Advanced Analytics and working across all our departments to champion a data-driven decision-making cultureUsing your business acumen and technical expertise to identify new opportunities to use data in order to meet key business objectivesCultivating positive relationships amongst business partners and cross-functional delivery teams from conceptualization and experimentation to production and oversightDelivering analytics and machine learning (ML) projects driving a number of key business outcomes, from fine-tuning investment decisions to data-driven products allowing us to better manage our buildingsCrafting and overseeing a range of analytical and ML models (statistical modelling, NLP, spatial metrics, knowledge graphs, IoT analytics etc.) conducting model training, validation, testing, integrated reconciliations and ongoing data and model integrity maintenanceWorking closely with the data platforms team to integrate new data sources in your analysis as well as operationalizing modelsDriving analytics innovation and develop thought leadership, redefining how data is used across the global real estate industryTo succeed in this role, you have:Experience as a curious, detail-orientated data scientist with a consistent track record in delivering analytical and ML projects in a commercial setting2-4 years’ experience working as a Data Scientist or Machine Learning EngineerA proven grasp of the practical and theoretical aspects of statistical and ML such as data structures, algorithms, gradient descent, probability theory, linear algebra, calculus, hypothesis testing, and moreStrong Python programming skillsExcellent git skillsThe ability to write performant SQL and have solid ETL/ELT experienceExperience with framework such as TensorFlow, Keras, PyTorch, MxNet and the scikit learn libraryA solid understanding of running ML applications and implementing model tracking, updating, and auto-train capabilities in addition to accounting for drift and imbalanceThe ability to visualize your data and build reports using dedicated BI tools (experience of PowerBI a plus)The ability to quickly build a solid understanding of the industry and competitive landscape in order to see opportunities for data-driven change and are commercially mindedExcellent communication and data visualization skills, with the ability to translate sophisticated analytical concepts to a non-data fluent audienceThe ability to work your way through ambiguity as well as influence multiple technical and business partnersYou will stand out if you have:Experience with application developmentExperience with different mapping libraries and tools like Kepler.gl, ArcGIS and Map BoxExperience implementing pre-built models at scale along with retraining and implementing a custom deep-learning architecture is a strong plusA solid understanding of Microsoft Azure Analytics & Data Science stackPrevious work experience in an agile-cross functional team applying product management and human centered design principlesExperience working in the financial sector or exposure to the real estate industryAn active participation in the data science community via hackathons, meetups, Kaggle competitions etc.Our story:Oxford Properties Group connects people to exceptional places, and is the owner, developer and manager of some of the world’s best real estate assets. Established in 1960, it manages approximately C$60 billion of assets across the globe on behalf of its co-owners and investment partners. Oxford’s portfolio encompasses office, retail, industrial, hotels and multifamily residential and spans more than 100 million square feet in global gateway cities across four continents. A highly disciplined and thematic investor, Oxford invests in properties, portfolios, development sites, debt, securities and platform opportunities across the risk-reward spectrum. With its global headquarters in Toronto, Oxford operates out of over 15 regional offices including New York, London, Luxembourg, Singapore and Sydney. Its long-term approach to real estate investment aligns Oxford’s interests to its customers and the communities in which it operates. Oxford is owned by OMERS, the defined benefit pension plan for Ontario's municipal employees.OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.