Senior Data Scientist

Role : Senior Data Scientist (AI & Data)
Location: Remote (Work from Home)
We’re hiring a Senior Data Scientist to build the next generation of intelligent
decision systems that power pricing, supply optimization, ranking, and personalization
in our global B2B hotel marketplace.
This is a high-impact role at the intersection of machine learning, optimization, and
product engineering, where you’ll leverage deep statistical modeling and modern ML
techniques to make real-time decisions at scale.
You’ll collaborate closely with Product, Engineering, and Data Platform teams to
operationalize data science models that directly improve revenue, conversion, and
marketplace efficiency.
You’ll own the full lifecycle of ML models—from experimentation and training to
deployment, monitoring, and continuous retraining to ensure performance at scale.
Responsibilities
● Design and implement ML models for dynamic pricing, availability prediction,
and real-time hotel demand optimization.
● Develop and maintain data pipelines and feature stores supporting
large-scale model training and inference.
● Leverage Bayesian inference, causal modeling, and reinforcement learning
(bandits / sequential decision systems) to drive adaptive decision platforms.
● Build ranking / recommendation systems for personalization, relevance, and
supply visibility.
● Use LLMs (Claude, GPT-4, SLMs) for:
○ Contract parsing, metadata extraction, and mapping resolution
○ Semantic search and retrieval-augmented generation (RAG)
○ Conversational systems for CRS, rate insights, and partner
communication
○ Automated summarization and content enrichment
● Operationalize ML + LLM pipelines on Databricks / AWS for training, inference,
and monitoring.
● Deploy and monitor models in production with strong observability, tracing,
and SLO ownership.
● Run A/B experiments and causal validation to measure real business impact.
● Collaborate cross-functionally with engineering, data platform, and product
teams to translate research into scalable production systems.
● Your models will directly influence GMV growth, conversion rates, and partner
revenue yield across the global marketplace.
Requirements
● 5–9 years of hands-on experience in Applied ML / Data Science.
● Strong proficiency in Python, PySpark, and SQL.
● Experience developing models for ranking, pricing, recommendation, or
forecasting at scale.
● Hands-on with PyTorch or TensorFlow for real-world ML or DL use cases.
● Strong grasp of probabilistic modeling, Bayesian methods, and causal
inference.
● Practical experience integrating LLM/GenAI workflows (LangChain, RAG,
embeddings, Claude, GPT, SLMs) into production.
● Experience with Databricks, Spark, or SageMaker for distributed training and
deployment.
● Familiar with experiment platforms, MLflow, and model observability best
practices.
● Strong business understanding and ability to communicate model impact to
product stakeholders.
Nice to Have
● Background in travel-tech, marketplace, or pricing/revenue optimization
domains.
● Experience in retrieval, semantic search, or content-based information
retrieval.
● Familiarity with small language model (SLM) optimization for cost-efficient
inference.
● Prior work on RL/bandit-driven decision systems or personalization engines.
● Experience designing AI-assisted developer workflows using tools like Cursor,
Claude, or Code Interpreter.
Why Join Us?
● Work on AI and ML systems driving billions of hotel transactions globally.
● Apply LLM-powered intelligence to transform how hotels connect and distribute
in real-time.
● Collaborate with world-class engineers and scientists in a remote-first,
AI-accelerated culture.
● Shape the AI-first foundation of one of the fastest-scaling B2B travel platforms.