Data Scientist

Summary

Join Rentable, a profitable, growth-stage company building industry-leading martech and data products for the rentals industry, as a skilled Data Scientist. You will be part of the ApartmentIQ product team, using analytical skills to extract insights from complex datasets and collaborating with various teams. This fast-paced role demands strategic thinking, strong communication, and the ability to manage multiple challenges. Autonomy and curiosity are essential for success. We offer a fully remote work environment and a competitive compensation package.

Requirements

• Hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• Possess 4+ years of experience as a Data Scientist, demonstrating a strong ability to leverage data in business settings
• Be proficient in Python or R, and familiar with libraries for data manipulation and analysis
• Have a solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering)
• Be skilled in data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and big data technologies (e.g., Hadoop, Spark)
• Have experience with SQL, database technologies, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques
• Possess excellent organizational skills, effective communication, and the ability to manage multiple projects simultaneously
• Demonstrate a high degree of attention to detail, and be 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 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

Preferred Qualifications

Hold relevant certifications in machine learning, data science, or cloud computing

Benefits

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