Rentable is a leading online apartment marketplace that connects renters with an extensive inventory of available apartments nationwide. The platform enables renters to browse, filter, and tour human-verified listings, making the process of finding a suitable rental convenient and efficient. Since its inception in 2012, Rentable has grown to cover over 300 cities, providing more than seven million renters with access to accurate and credible rental information. Rentable also offers features like pet-friendly listings and rent affordability calculators, making it a trusted choice for renters across the U. S.
Technology β’ Information and Internet
March 11
Rentable is a leading online apartment marketplace that connects renters with an extensive inventory of available apartments nationwide. The platform enables renters to browse, filter, and tour human-verified listings, making the process of finding a suitable rental convenient and efficient. Since its inception in 2012, Rentable has grown to cover over 300 cities, providing more than seven million renters with access to accurate and credible rental information. Rentable also offers features like pet-friendly listings and rent affordability calculators, making it a trusted choice for renters across the U. S.
Technology β’ Information and Internet
β’ Weβre changing the rentals industry by providing industry-leading martech and data SaaS products. β’ Weβre a profitable, growth-stage company expanding our portfolio with high-growth products. β’ The role involves extracting insights from datasets and collaborating with various teams. β’ Success requires strategic thinking and the ability to manage challenges in a fast-paced environment. β’ Responsibilities include developing predictive models and analyzing large datasets. β’ Qualifications include a degree in relevant fields and experience as a Data Scientist.
β’ Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. β’ 3+ years of experience as a Data Scientist, demonstrating a strong ability to leverage data in business settings. β’ Proficient in Python, and familiar with libraries for data manipulation and analysis. β’ Solid understanding of statistical concepts and machine learning algorithms (e.g., forecasting, regression, classification, clustering). β’ Skilled in data visualization tools (e.g., Matplotlib, Seaborn) and big data technologies (e.g., Spark). β’ Experience with SQL, database technologies, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. β’ Relevant certifications in machine learning, data science, or cloud computing are a plus. β’ Excellent organizational skills, effective communication, and the ability to manage multiple projects simultaneously. β’ High degree of attention to detail, and motivated to take initiative in analyzing, experimenting, and learning
β’ 100% remote workplace β’ Competitive Compensation Package β’ Open Vacation Policy β’ Medical, Dental, and Vision Insurance β’ 100% paid Short-Term Disability, Long-Term Disability, and Life Insurance Program β’ 401k Program β’ No A**hole policy
Apply NowMarch 11
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