Rentable is looking to solve industry-leading martech and data products for the rentals industry by improving the accuracy of their data and enriching their data set with new attributes
Requirements
- Proficient in Python, and familiar with libraries for data manipulation and analysis.
- Solid understanding of statistical concepts and machine learning algorithms (e.g., forecasting, regression, classification, clustering).
- Experience deploying LLM pipelines at scale.
- Experience with SQL, database technologies, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.
- Relevant certifications in machine learning, data science, or cloud computing are a plus.
Responsibilities
- Develop and deploy predictive models using machine learning algorithms (e.g., regression, decision trees, neural networks) to forecast trends, optimize decision-making processes, and improve business outcomes.
- Design and implement scalable LLM-based classification pipelines to extract and standardize property attributes, ownership structures, and asset classes across multifamily real estate datasets.
- Leverage state-of-the-art NLP techniques and foundation models (e.g., GPT, Claude, or open-source LLMs) to automate property classification, entity resolution, and enrichment using unstructured data sources such as listings, legal records, or marketing content.
- Create data visualizations, dashboards, and reports to communicate insights to both technical and non-technical stakeholders.
- Collaborate with product and engineering teams to integrate your solutions into the product, assess model performance (accuracy, precision, recall, AUC-ROC), and refine algorithms over time.
- Lead discussions and presentations on data-driven insights with stakeholders, showing your work and facilitating decision-making across key stakeholders.
Other
- 2+ years of experience in multifamily, commercial real estate or proptech.
- 5+ years of experience as a Data Scientist, demonstrating a strong ability to leverage data in business settings.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Excellent organizational skills, effective communication, and the ability to manage multiple projects simultaneously.
- Applicants must be authorized to work for any employer in the U.S.
