Senior Data Scientist, ResortPass
Machine Learning
$150-195k
+ Equity + Stock Options
Office located in Union Square, NYC
Day access to luxury hotel amenities
Open for applications
Day access to luxury hotel amenities
101-200 employees
Open for applications
$150-195k
+ Equity + Stock Options
Office located in Union Square, NYC
101-200 employees
Company mission
To empower people to experience a wide range of luxury resort amenities including breathtaking pools, private beaches, deluxe spas, and top fitness facilities at leading hotels in their own neighborhoods.
Role
Who you are
- 5+ years in ML engineering, data science, or related role at a high-growth tech company
- Expert in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch)
- Hands-on experience with recommendation systems, search algorithms, personalization engines, or dynamic-pricing models
- Proficient with SQL, data-processing frameworks (Spark, Beam), and cloud services (AWS SageMaker, GCP AI Platform)
- Strong statistical foundations and practice designing robust experiments
- Excellent communicator: distills complex technical work into clear insights for both technical and non-technical stakeholders
- Proven track record of cross-functional collaboration and iterative delivery
- You’re driven by impact, curiosity, and a genuine passion for both ML and hospitality
- You care about code quality, reproducibility, and fostering an inclusive, supportive team environment
- You're a good person. While building a startup is hard, being a good person is not. We are creating a culture of people with whom you would look forward to working. While we offer incredible experiences to our guests, it is just as important to us to foster an incredible culture for our employees
Desirable
- Prior experience at a multi-sided marketplace, e-commerce, or hospitality tech
- Familiarity with MLOps tools (Kubeflow, MLflow), feature-store platforms, or real-time inference frameworks
- Background in algorithmic pricing, yield management, or revenue-management systems
What the job involves
- As our first dedicated Senior Data Scientist - Machine Learning, you’ll own the end-to-end lifecycle of models powering key product features—search ranking, recommendations, personalization, and dynamic pricing
- You’ll collaborate closely with engineers, and product managers to design, train, deploy, monitor, and optimize scalable ML systems in production
- Develop ML algorithms for search ranking, content recommendation, personalized user experiences, and dynamic pricing
- Implement scalable data pipelines and feature stores to support real-time inference
- Partner with software engineers to deploy models via microservices and serverless architectures
- Work with product teams to translate business goals into technical requirements
- Design and analyze A/B tests to validate model improvements
- Instrument monitoring and alerting for model performance, data drift, and business impact
- Profile and optimize model latency, throughput, and resource utilization
- Leverage cloud and big-data tools for large-scale training and inference
Our take
Luxury hotels and resorts are often regarded as havens for the rich and famous, being reserved exclusively for guests who are willing to pay top dollar to stay overnight. However, ResortPass is changing this narrative, by building a day-pass marketplace for establishments that want to bring in guests to utilize their amenities throughout the day.
The demand for local experiences has soared in the past few years and ResortPass is taking advantage of these growing requests. ResortPass offers over 900 brands for guests to choose from, including the Ritz Carlton, Four Seasons and Sheraton. While some may argue ResortPass is removing the exclusivity for overnight guests, its business model is to monetize underutilized inventory and work alongside hotels to drive usage of these amenities.
ResortPass offers a distinct way for both tourists and residents to enjoy the facilities of upscale hotels and resorts. With endorsements from well-known personalities such as Jessica Alba and Gwyneth Paltrow, the company is a testament to the increasing favorability of the sharing economy and the demand for exclusive travel encounters.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
27% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2022
$26m
SERIES B
Aug 2019
$8.7m
SERIES A
Total funding: $37.4m
Company benefits
- Health, Dental & Vision — We're deeply invested in the health and well-being of our team and are proud to contribute to the monthly premiums of these insurance plans
- Stock Option Plan — We offer employees the opportunity to become part-owners in our mission. Let’s redefine what it means to be a guest, together
- 401k plan — Save for your future with a 410k plan offering
- Unlimited Paid Time Off (PTO) — Enjoy life away from work to be inspired and fully recharge with unlimited paid time off
- Paid parental leave
- Annual ResortPass credit — Our mission is to bring delight and relaxation to people around the world; including our employees! Access private beaches, deluxe saunas, awesome pools, and much more with your annual credit
Company HQ
Civic Center, New York, NY
Leadership
Amanda Szabo
(Founder)Previously founded the online booking platform for weddings and events, Weddlock and co-founded the travel booking website TravelShack.
Michael Wolf
(CEO)Previously President and Advisor at Supernatural, COO at Talent Hack and Global Head of Operations at ClassPass.
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