Data Scientist

Tech Stack

Modeling & ML Frameworks : Python, scikit-learn, PyTorch, TensorFlow — spanning classical

ML, deep learning, and transformer-based architectures. Includes modern ensemble methods

(XGBoost, LightGBM) for large-scale structured modeling.

Applied Domains : Ranking, Recommendation, Dynamic Pricing, Forecasting, Supply–Demand

Optimization, Semantic Search, NLP / NLU, Generative Content Systems

Data & Compute : Databricks, PySpark, AWS (S3, Glue, EMR, Athena), ScyllaDB, MongoDB,

Redis

Experimentation & Optimization : MLflow, Airflow, SageMaker, Bayesian Optimization,

Bandit / Sequential Experimentation

LLMs & GenAI : Claude, OpenAI GPT-4, SLMs, LangChain, Cursor IDE, RAG Pipelines,

Embedding Models, Vector Search (FAISS / Pinecone)

Observability : Grafana, Prometheus, Data Quality Monitors, Custom Model Dashboards

We’re in the early stages of building a Data Science & AI team — the learning curve,

innovation velocity, and ownership opportunities are immense. You’ll help define the foundation

for experimentation, production ML pipelines, and GenAI innovation from the ground up.

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.

large-scale model training and inference.

(bandits / sequential decision systems) to drive adaptive decision platforms.

supply visibility.

○ 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

and monitoring.

and SLO ownership.

teams to translate research into scalable production systems.

revenue yield across the global marketplace.

Requirements

forecasting at scale.

inference.

embeddings, Claude, GPT, SLMs) into production.

deployment.

practices.

product stakeholders.

Nice to Have

domains.

retrieval.

inference.

Claude, or Code Interpreter.