Data Scientist
VacationRenter
full-time
Posted on:
Location Type: Hybrid
Location: Dallas • Texas • United States
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Tech Stack
About the role
- Model Development: Design, develop, and implement machine learning models to drive VacationRenter’s sort and search functions, create classification models to predict reservation cancellations, and build predictive models to support pricing strategies
- Data Analysis & Feature Engineering: Leverage your business acumen and deep understanding of travel shopping behaviors to identify, engineer, and prioritize the most impactful features that drive model performance
- Production Deployment: Collaborate with engineering teams to deploy machine learning models into production, ensuring they perform reliably, scale effectively, and maintain high-quality results
- Experimentation & A/B Testing: Design and run controlled experiments to measure and validate the effectiveness and impact of machine learning models
- Reporting & Visualization: Develop clear and insightful reports and interactive dashboards to effectively communicate model findings and performance metrics to both technical and non-technical stakeholders
- Research & Innovation: Continuously explore and apply the latest advancements in machine learning, AI, and data science to enhance our modeling capabilities and data infrastructure
Requirements
- 5+ years of professional experience in a Data Scientist or Machine Learning Engineer role
- Expert-level proficiency in Python, including key machine learning libraries
- Solid understanding of statistical modeling, experimental design, and data mining techniques
- Demonstrated experience owning the full modeling lifecycle, including ETL, data cleansing, feature engineering, model development, deployment, and ongoing maintenance
- Experience with SQL and working with large datasets in a cloud environment, particularly GCP, but demonstrated expertise in other platforms can suffice
- Strong communication skills, with the ability to explain complex technical concepts to a diverse audience.
Benefits
- Competitive salary + equity
- Top-tier laptop provided
- 100% company-paid health benefits for base plan coverage, with the option to upgrade to higher-tier plans
- 401(k) with company match
- Unlimited, guilt-free vacation days
- Annual wellness stipend (gym + other wellness activities)
- Monthly house cleaning stipend
- Annual travel allowance
- Monthly cell phone & internet usage stipend
- Charity donation company match
- Employee referral bonus
- Team offsites/activities!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonstatistical modelingexperimental designdata miningETLdata cleansingfeature engineeringmodel developmentmodel deployment
Soft Skills
communicationbusiness acumencollaborationproblem-solving