Data Scientist

Summary

Join Rentable, a profitable, growth-stage company in the rentals industry, as a skilled Data Scientist to contribute to our ApartmentIQ data team. This role focuses on improving data accuracy, enriching datasets, and collaborating with various teams to deliver product capabilities. You will leverage your analytical skills, strategic thinking, and strong communication to manage multiple challenges in a fast-paced environment. Autonomy, curiosity, and the ability to make recommendations are essential. The position involves developing and deploying predictive models, applying advanced statistical techniques, and creating data visualizations to communicate insights. You will collaborate with product and engineering teams to integrate solutions and refine algorithms.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field
• 3+ years of experience as a Data Scientist, demonstrating a strong ability to leverage data in business settings
• 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
• Skilled in data visualization tools (e.g., Matplotlib, Seaborn) and big data technologies (e.g., Spark)
• Experience with SQL, database technologies, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques
• Excellent organizational skills, effective communication, and the ability to manage multiple projects simultaneously
• High degree of attention to detail, and motivated to take initiative in analyzing, experimenting, and learning

Responsibilities

• Develop and deploy predictive models using machine learning algorithms (e.g., regression, decision trees, random forests, neural networks) to forecast trends, optimize decision-making processes, and improve business outcomes
• Apply advanced statistical techniques and machine learning algorithms to analyze large datasets, identify patterns, and predict future trends
• Develop and optimize models in Python using machine learning, and statistical techniques, leveraging packages such as XGBoost, and scikit-learn to build accurate predictive models for business decision-making
• 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

Preferred Qualifications

Relevant certifications in machine learning, data science, or cloud computing are a plus

Benefits

• 100% remote workplace
• Competitive Compensation
• Flexible Vacation Policy
• Medical, Dental, and Vision Insurance
• 100% paid Short-Term Disability, Long-Term Disability, and Life Insurance Program
• 401k Program