The Senior Data Scientist will analyze trends, drive experimentation, and create models, focusing on data insights to influence business decisions.
About the company
ResortPass is completely redefining what it means to be a guest at a hotel. By offering day access to luxury hotel experiences, including breathtaking pools, private beaches, deluxe spas, and more, ResortPass allows people to escape – without ever leaving town. If you’re moved to contribute to our vision, we’d love your help.
Our growing team of innovative tech and hospitality experts has partnered with over 1,800 leading hotels and resorts including Ritz-Carlton, Four Seasons, Westin, and Fairmont. We’ve connected over 3 million people with relaxation and luxury in their own neighborhoods, making rest more mindful, togetherness more meaningful, and escape more accessible. Fresh off a Series B $30M raise, co-led by Declaration Partners and 14W with additional investment from previous investor Charles River Ventures, and new investors Endeavor, Jessica Alba, Adam Grant and others, ResortPass is at the beginning of creating a new category of hospitality.
About the role
As our first dedicated Senior Machine Learning Engineer, 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.
We are looking for someone who is located in or near the NYC area, as this role will be in person at our NYC headquarters. The base salary for this role will range from $150,000 - $195,000 per year, and will be eligible for equity, commensurate with experience.
What you'll do
- Build & Productionize Models
- 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
- Collaborate & Integrate
- Partner with software engineers to deploy models via microservices and serverless architectures
- Work with product teams to translate business goals into technical requirements
- Experimentation & Evaluation
- Design and analyze A/B tests to validate model improvements
- Instrument monitoring and alerting for model performance, data drift, and business impact
- Optimization & Scale
- Profile and optimize model latency, throughput, and resource utilization
- Leverage cloud and big-data tools for large-scale training and inference
Your experience
- Experience & Technical Skills
- 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)
- Analytical & Collaborative
- 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
- Culture & Values
- 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
- Bonus points if you have:
- 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
- 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
- We encourage candidates to apply even if they don’t have 100% of the below qualifications. We believe in a holistic approach when evaluating talent for our team and post new roles often, so even if this role isn’t quite right, we want to meet you!
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 401k plan offering.
- Unlimited Paid Time Off (PTO) — Enjoy life away from work to be inspired and fully recharge with unlimited paid time off.
- Commuter Benefits
- 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
Top Skills
Looker
Python
SQL
Tableau
ResortPass New York, New York, USA Office
New York, NY, United States
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