Data Scientist

October 2

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Super.com

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eCommerce • Travel

Super. com is a platform offering significant savings on travel accommodations. By partnering directly with hotels and travel companies, Super. com is able to provide customers with up to 50% off their rates at over 500,000 hotels worldwide. It also offers users a means to manage trips through its app and a rewards system called Super Pay, which gives cashback and credits on bookings. Super. com aims to make travel more affordable and accessible, with a focus on providing exceptional customer service and easy booking processes.

201 - 500 employees

🛍️ eCommerce

💰 $25M Debt Financing on 2023-04

📋 Description

• Apply statistical analysis and machine learning techniques to uncover insights, build predictive models, and support data-driven decision-making. • Investigate data trends, patterns, and anomalies; assist in diagnosing issues and identifying opportunities through exploratory data analysis (EDA). • Access, clean, and transform large raw datasets to prepare them for modeling and analysis. • Collaborate closely with product, engineering, and business teams to translate problems into data science solutions. • Autonomously identify business challenges that have impactful data solutions and build the right solutions to address them. • Design and execute personalization experiments (e.g., A/B tests) to test hypotheses, measure product changes, and inform business strategies. • Develop, prototype, and validate machine learning models and algorithms. • Create clear visualizations and reports to communicate technical findings and model results to stakeholders. • Follow best practices for reproducibility, model evaluation, documentation, and version control in data science workflows. • Support efforts to improve data quality, feature engineering processes, and model monitoring practices.

🎯 Requirements

• 2+ years of experience in data science roles • Experience with web analytics tools (GA4, Amplitude, Mixpanel, etc) • Intermediate knowledge of SQL with the ability to create clean and transform datasets, ideally with DBT • Collaborative and verbose communication about why and how we approach business questions • Strong programming skills with working knowledge of machine learning packages such as sklearn, pandas, numpy, tensorflow, etc.

🏖️ Benefits

• Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. • Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites. • Everyday Perks: Weekly UberEats credits and travel discounts on SuperTravel help you enjoy the little things. • Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan. • Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one. • Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.