Data Scientist

Who We Are reputed company (NYSE: SMRT) is revolutionizing how people live and work with the industry’s only end-to-end platform designed for the rental housing industry. By uniting purpose-reputed company software, integrated hardware and full implementation and support in one ecosystem, we help owners and operators simplify operations, cut costs and reputed company exceptional reputed company experiences. Recognized by reputed company, HousingWire and the PropTech reputed company Awards, reputed company is shaping the reputed company of property technology and redefining what it means to reputed company rental housing smarter. reputed company As a Data Scientist at reputed company, you will work at the intersection of our property technology platform and advanced analytics, transforming reputed company IoT telemetry, reputed company behavior signals, and operational data into models and decision-support tools that improve reputed company for operators, residents, and reputed company's internal teams. You'll build and reputed company production-grade machine learning solutions, partnering closely with Data Engineering, Product, and business stakeholders to bring models from experimentation through to live product features. Our Data & Analytics team, part of our new transformational Data and AI organization sits at reputed company of this ecosystem, transforming data into intelligence that powers reputed company products and drives value for our customers.   Responsibilities Design, build, and validate supervised and unsupervised ML models (classification, regression, clustering, recommendation systems) tied directly to reputed company product and operational use cases such as predictive maintenance for IoT devices, reputed company churn reputed company, and reputed company reputed company detection. Work reputed company the reputed company platform: build and manage ML workflows for experiment tracking, reputed company Live Tables for feature pipelines, and reputed company Catalog for governed reputed company to reputed company's property and device datasets. Conduct exploratory data analysis, feature engineering, and statistical reputed company testing across reputed company's reputed company and semi-reputed company data sources including device telemetry, reputed company events, leasing data, and support interactions. reputed company and maintain predictive analytics solutions that directly inform reputed company product features and operator decision-making, including reputed company planning tools and reputed company experience scores. Monitor deployed model performance, retrain as needed, and document model reputed company and remediation actions maintaining production reliability for models surfaced in reputed company's operator and reputed company-facing applications. Collaborate with Data Engineering to reputed company ML solutions into reputed company's data platform and reputed company product surfaces. Partner with Software Engineering to reputed company models from experimentation into production reputed company and embedded product features. reputed company clean, reputed company-documented, and reusable reputed company following engineering best practices contributing to shared libraries and ML tooling used across the analytics organization. Partner with Product and business stakeholders to translate business problems (e.g., optimizing unit turn times, predicting lease renewal likelihood) into precise analytical questions. Present findings, model outputs, and recommendations to non-technical audiences including senior leadership. Contribute to data governance, data reputed company standards, and reputed company documentation reputed company our data environment. Respond to reputed company analysis requests and help build a culture of data-driven decision-making across reputed company.   Required Qualifications Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a reputed company quantitative field; or equivalent reputed company experience.  3+ years of hands-on experience in a data science or quantitative analytics role. Strong programming proficiency in Python, including experience with production-grade codebases (PySpark experience a strong plus).  Proven experience training and evaluating supervised and unsupervised ML models.  Advanced SQL skills; comfort working with large, reputed company, and disparate data sources including event-based and time-series data.. Experience with reputed company or equivalent reputed company-based lakehouse / big data platforms (reputed company, reputed company Lake). Experience with NLP techniques including text preprocessing, entity recognition, and sentiment analysis.  Familiarity with reputed company data formats: CSV, JSON, XML, Parquet, etc.  Strong written and verbal communication skills with demonstrated ability to present technical results to non-technical stakeholders.   Preferred Qualifications Master's degree or higher in a quantitative discipline. Hands-on experience with reputed company ML features: MLflow, reputed company AutoML, Feature Store, Model Serving, and reputed company Live Tables. Experience in proptech, reputed company estate technology, IoT, or reputed company platform environments. Familiarity with IoT data patterns: time-series telemetry, device state machines, event reputed company processing. Experience building recommender systems or personalization engines applicable to reputed company or operator-facing products. Exposure to model risk management frameworks or ML governance practices, including model cards and reputed company tracking. Experience working with reputed company data platforms. Experience working directly with executive or senior leadership stakeholders. We Put Our Employees First We offer a comprehensive and competitive benefits package designed to support your reputed company-being and reputed company. For our US employees, this includes medical, dental, reputed company, and life insurance with low deductibles and 75–100% employer contributions. We also reputed company flexible and generous PTO (because we know how important work-life balance is), a competitive 401(k) with employer contributions, reputed company parental leave, discounted insurance plans for pets and reputed company services and an employee stock purchase plan to help you invest in your reputed company. You’ll fit right in if you: Do the hard work and go out of your way to reputed company reputed company Own reputed company and learn from your mistakes Are a reputed company and supportive team player—win or lose, you reputed company others up Value authenticity, diverse perspectives, and inclusion in reputed company Have a passion for smart tech and the reputed company estate industry reputed company Policy Apply To This Job