Posted:4 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Overview

We are seeking a Data Scientist with a strong foundation in machine learning and a passion for the travel industry. You will work with cross-functional teams to analyze customer behavior, forecast travel demand, optimize pricing models, and deploy AI-driven solutions to improve user experience and drive business growth.

Key Responsibilities

  • Engage in all stages of the project lifecycle, including data collection, labeling, and preprocessing, to ensure high-quality datasets for model training.
  • Utilize advanced machine learning frameworks and pipelines for efficient model development, training execution, and deployment.
  • Implement MLFlow for tracking experiments, managing datasets, and facilitating model versioning to streamline collaboration.
  • Oversee model deployment on cloud platforms, ensuring scalable and robust performance in real-world travel applications.
  • Analyze large volumes of structured and unstructured travel data to identify trends, patterns, and actionable insights.
  • Develop, test, and deploy predictive models and machine learning algorithms for fare prediction, demand forecasting, and customer segmentation.
  • Create dashboards and reports to communicate insights effectively to stakeholders across the business.
  • Collaborate with Engineering, Product, Marketing, and Finance teams to support strategic data initiatives.
  • Build and maintain data pipelines for data ingestion, transformation, and modeling.
  • Conduct statistical analysis, A/B testing, and hypothesis testing to guide product decisions.
  • Automate processes and contribute to scalable, production-ready data science tools.

Technical Skills

  • Machine Learning Frameworks: PyTorch, TensorFlow, JAX, Keras, Keras-Core, Scikit-learn, Distributed Model Training
  • Programming & Development: Python, Pyspark, Julia, MATLAB, Git, GitLab, Docker, MLOps, CI/CD Pipelines
  • Cloud & Deployment: AWS SageMaker, MLFlow, Production Scaling
  • Data Science & Analytics: Statistical Analysis, Predictive Modeling, Feature Engineering, Data Preprocessing, Pandas, NumPy, PySpark
  • Computer Vision: CNN, RNN, OpenCV, Kornia, Object Detection, Image Processing, Video Analytics
  • Visualization Tools: Looker,Tableau, Power BI, Matplotlib, Seaborn
  • Databases & Querying: SQL, Snowflake, Databricks
  • Big Data & MLOps: Spark, Hadoop, Kubernetes, Model Monitoring

Nice To Have

  • Experience with deep learning, LLMs, NLP (Transformers), or recommendation systems in travel use cases.
  • Knowledge of GDS APIs (Amadeus, Sabre), flight search optimization, and pricing models.
  • Strong system design (HLD/LLD) and architecture experience for production-scale ML workflows.
Skills: data preprocessing,docker,feature engineering,sql,python,predictive modeling,statistical analysis,keras,data science,spark,data scientist,aws sagemaker,machine learning,mlflow,tensorflow,pytorch

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