Data Scientist

We’re Changing the Rentals Industry

We’re a profitable, growth-stage company specializing in industry-leading martech and data SaaS products for the rentals industry. Originally known for building and operating one of the U.S.’s largest rental marketplaces, Rentable, we have since expanded our portfolio to include two high-growth products: MavenAI, an AI mar-tech solution, and ApartmentIQ, a category-leading competitive intelligence software.

We’re a 100% remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy, and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.

While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital. 

If you like the idea of joining an industry-changing company made up of people who genuinely like each other, Rentable could be a great fit for you.

The Role 

We are seeking a skilled Data Scientist to join our ApartmentIQ team. This role involves using analytical skills to extract insights from complex datasets and collaborating with product, engineering, and customer experience teams to deliver product capabilities. Success in this fast-paced environment requires strategic thinking, strong organizational and communication skills, and the ability to manage multiple challenges. Autonomy, curiosity, and the ability to make recommendations in uncertain situations are essential.

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 forecasting models in Python using time series analysis, machine learning, and statistical techniques, leveraging packages such as SARIMAX (statsmodels), Facebook Prophet, XGBoost, LSTM (TensorFlow/Keras), and scikit-learn to build accurate predictive models for business decision-making.
• Develop predictive models to forecast key performance measures and customer behavior, iterating based on usage data and feedback.
• 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

Qualifications

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

Why Rentable:

• 100% remote workplace
• Competitive Compensation Package
• Open Vacation Policy 
• Medical, Dental, and Vision Insurance
• 100% paid Short-Term Disability, Long-Term Disability, and Life Insurance Program
• 401k Program
• No A**hole policy