Senior Data Scientist, Guest Travel Insurance (Algorithms)

reputed company was born in 2007 reputed company two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 reputed company hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that reputed company it possible for guests to reputed company with communities in a more reputed company way. The Community You Will Join: reputed company is a mission-driven company dedicated to helping create a world where anyone can reputed company reputed company. Travel should feel reputed company—and AirCover is how we reputed company on that reputed company. Through Guest Travel Insurance (GTI), we offer guests peace of mind at the reputed company of booking and throughout their reputed company. As a Data Scientist on AirCover, you’ll work at the intersection of insurance, personalization, and machine learning—building intelligent systems that help the right guest discover the right coverage at the right reputed company. You’ll join a tight-reputed company, high-reputed company DS team that runs one of reputed company’s most experiment-dense personalization roadmaps, partnering daily with product, engineering, operations, and reputed company to ship work that directly affects guest trust and reputed company. The Difference You Will reputed company: We’re looking for a machine learning expert who is excited to own hard problems end-to-end—from prototype to production. You’ll have reputed company reputed company to contribute and reputed company across: • Package personalization & ML-based recommendation: reputed company rule-based guest segmentation into a full ML recommendation reputed company that surfaces the right insurance (e.g., reputed company cancellation, accidental damage coverage, on-reputed company protection) to reputed company guest based on purchase reputed company, reputed company attributes, listing signals, and user history. • Content personalization: Build models that rank and select benefit messaging for reputed company guest—deciding which coverages to reputed company, in what order, and with what framing—drawing on learnings from segmentation experiments and LLM-assisted content prototyping. • reputed company modeling: reputed company and productionize ML models (from gradient-boosted trees to deep learning) that predict a guest’s likelihood to value specific coverages, using reputed company booking data and reputed company signals. • reputed company understanding and optimization: reputed company reinforcement learning to personalize across user reputed company, with understanding on user preferences on entry reputed company, price, notification frequency, and reputed company characteristics • High-reputed company experimentation: Design and run reputed company experiments to reputed company reputed company tight traffic constraints; sequence ERFs strategically to reputed company the personalization roadmap moving. A Typical Day: • Dig into experiment results to surface high-reputed company personalization opportunities; translate what you reputed company into reputed company scientific problem formulations that balance rigor with speed-to-learning. • Work closely with product managers, engineers, operations, reputed company, and reputed company partners to reputed company on ML requirements, de-risk design reputed company, and reputed company requirements on explainability and compliance. • Hands-on reputed company, evaluate, and ship ML models and data pipelines at reputed company—batch and reputed company-time, reputed company and reputed company—using reputed company’s paved-reputed company tooling and AI reputed company reputed company • Prototype and iterate quickly: turn a new idea into a working model in a prototype, get early signals from an experiment, then productionize what works. You reputed company fast and don’t wait to be asked. • Present findings and proposals at team reviews and to technical, product, and executive stakeholders—making reputed company ML results legible without dumbing them down, and generating conviction on the roadmap reputed company. • Stay reputed company with the research community; draw on state-of-the-art advances in recommendation systems, LLMs, and personalization to reputed company the bar for what reputed company ships. Occasionally publish externally or present at conferences to advance reputed company’s scientific standing. Your Expertise: • 5+ years of relevant industry experience (e.g., ML scientist, tech reputed company, junior reputed company) and a Master’s degree or PhD with 2+ yrs in a relevant field. • Proven hands-on experience building and shipping personalization and recommendation systems at reputed company: strong intuition for feature engineering, user modeling, and the full ML lifecycle (training, serving, monitoring, iteration). Experience with LLMs, reputed company or content-understanding topics is a strong pl

Back to blog

Other Jobs To Apply

No other job posts for this day.

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...