Head of Forecasting

Summary

Join Rentable, a profitable, growth-stage company in the rentals industry, as their Head of Forecasting. Lead the development of smart, scalable, and accurate forecasting systems for ApartmentIQ, a market intelligence product. This high-impact role combines technical expertise with strategic thinking to guide the data science roadmap and shape product and business decisions. You will collaborate with product, engineering, and customer experience teams to embed predictive capabilities into the product, presenting strategies to executives and writing model code. The position offers the opportunity to influence the long-term vision for forecasting and its impact on product development, user experience, and business growth. Rentable is a 100% remote team with a strong balance sheet and indefinite runway.

Requirements

• 10+ years of experience in data science, with deep expertise in forecasting, time series modeling, and predictive analytics in the multifamily industry
• Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
• Strong Python skills, especially with forecasting libraries like statsmodels, Prophet, TensorFlow/Keras, XGBoost, and scikit-learn
• Solid understanding of model evaluation, experimentation, and deployment in production environments
• Business savvy—you can connect model outputs to business outcomes and explain your approach to both technical and non-technical audiences

Responsibilities

• Own the forecasting strategy and implementation across ApartmentIQ, driving the development of models that power our product and decision-making
• Design and implement forecasting models using techniques like SARIMAX, Prophet, LSTM, and XGBoost, leveraging Python and its ecosystem
• Work cross-functionally to identify the biggest forecasting opportunities, translate business questions into modeling tasks, and deliver insights at speed
• Create clear, compelling stories from complex data and drive alignment with stakeholders across product, engineering, and leadership
• Define and monitor key performance metrics for your models, and continuously iterate to improve performance in production
• Help set the long-term vision for how forecasting can drive smarter products, better user experiences, and business growth

Preferred Qualifications

• Experience working with large datasets, SQL, and modern data stacks (bonus points for cloud or Spark experience)
• A bias for action, strong communication skills, and a love for solving ambiguous problems with data

Benefits

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