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The Senior AI/ML Data Scientist drives strategic data initiatives, designs advanced predictive models, analyzes large datasets, and mentors other data scientists while collaborating cross-functionally to influence product design and implementation.
Top Skills:
Aws CloudDatabricksHugging FaceLangchainPandasPydanticaiPysparkPythonPyTorchScikit-LearnSparkSQLTensorFlow
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
As a Senior Consultant, you'll develop solutions for clients in operational excellence and lead technical implementations, while mentoring junior consultants and participating in business development.
Top Skills:
ExcelOracle NetsuiteOutlookPowerPointVisioWord
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
The Senior Consultant will manage complex client projects from start to finish, ensuring alignment with business objectives, client relations, and effective delivery of ERP solutions, primarily with NetSuite.
Top Skills:
Agile MethodologyErp SystemsNetSuiteProject Management Tools
About the company:
ResortPass is redefining what it means to be a hotel guest. We’re building a new category in hospitality: day access to luxury hotel experiences from breathtaking pools and private beaches to deluxe spas and wellness recharges so people can escape without an overnight stay.
Our marketplace now connects guests with 2,300+ partner hotels and resorts, including Ritz-Carlton, Four Seasons, Marriott Hilton, and more. We’ve helped millions of people enjoy premium hospitality close to home, making rest more mindful, togetherness more meaningful, and escape more accessible. The result: unforgettable experiences for guests and new revenue streams for partners.
Backed by some of the best consumer and growth investors, including CRV, Declaration, Brian Kelly (The Points Guy), WME, FJ Labs, and more, ResortPass is scaling a product people love and creating an entirely new way to experience hospitality.
About the role
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.
This role will be in person at our energetic NYC headquarters. The base salary for this role will range from $160,000 - $200,000 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
ResortPass New York, New York, USA Office
New York, NY, United States
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
