Remote Senior Data Scientist

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AirDNA

πŸ’΅ $170k-$180k
πŸ“Remote - Worldwide

Job highlights

Summary

Join our team at AirDNA and contribute to empowering short-term rental hosts with smart insights needed to succeed in the ever-evolving short-term rental landscape. As a Senior Data Scientist, you will play a key role in leveraging data-driven insights to design, develop, and maintain software solutions that enable our hosts to effectively invest in short-term rentals, manage their properties, streamline operations, optimize pricing, and deliver exceptional guest experiences.

Requirements

  • Bachelors, Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or a related quantitative field
  • Minimum of 5 years of professional experience as a Data Scientist, with a focus on software development and advanced analytics
  • Proven track record of designing, developing, and deploying successful software solutions powered by data science and analytics
  • Experience in short-term rental investment, revenue management, price optimization, time-series or forecasting is a strong plus
  • Strong expertise in programming languages such as Python, with proficiency in data manipulation and analysis libraries (e.g., Pandas, Scikit-learn, XGBoost, PyTorch or TensorFlow)
  • Proficiency in SQL and database management systems
  • Expertise working with large data sets in distributed systems such as pyspark and snowflake
  • Experience in ML engineering, cloud-based deployment and model lifecycle management

Responsibilities

  • Guide the strategy for creating or improving ML systems that empower short-term rental hosts to make better decisions
  • Utilize advanced data analysis, statistical modeling, and machine learning techniques to extract actionable insights from complex and diverse datasets
  • Work closely with product managers, engineers, and designers to define product requirements, prioritize features, and ensure the successful delivery of software tools that meet the needs of short-term rental investors and hosts
  • Develop predictive models, algorithms, and optimization techniques to empower hosts in making data-driven decisions regarding comp sets, pricing strategies, occupancy rates, availability management, and revenue maximization
  • Drive the implementation and integration of data science models and algorithms within the software infrastructure, ensuring scalability, reliability, and performance
  • Stay up-to-date with the latest advancements in data science, machine learning, and software development, and apply emerging technologies and methodologies to enhance the capabilities and impact of our software tools
  • Create and implement strategies to source and utilize short-term rental training data at scale
  • Create processes to continuously monitor and improve the performance of our models

Benefits

  • Competitive cash compensation and benefits
  • Medical, dental, and vision packages to meet your needs
  • Unlimited vacation policy; take time when you need it
  • Eligible for Company’s annual discretionary bonus program
  • 401K with employer match up to 4%
  • Continuing education stipend
  • 16 weeks of paid parental leave
  • New MacBooks for employees

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