Data Scientist

Summary

Join Rentable, a profitable, growth-stage martech and data SaaS company, as a Data Scientist on the ApartmentIQ team. This 100% remote role involves leveraging analytical skills to extract insights from complex datasets and collaborating with various teams. You will develop and deploy predictive models using machine learning algorithms, analyze large datasets, create data visualizations, and communicate insights to stakeholders. Success requires strategic thinking, strong communication, and the ability to manage multiple projects. Rentable offers a competitive compensation package, open vacation policy, comprehensive insurance, and a supportive remote work environment.

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)
• 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 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

Preferred Qualifications

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

Benefits

• 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