Data Scientist

One of our client is seeking a Data Scientist with 2-6 Years of experience with strong expertise in Data Science, Python, and SQL to join our team in the travel industry for Hyderabad Location. The role involves working with cross-functional teams to analyze customer behavior, forecast demand, optimize pricing models, and deploy AI-driven solutions to enhance user experience and drive business growth.

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Key Responsibilities

• Work across all stages of the data science lifecycle – data collection, preprocessing, model development, and deployment.
• Build and train machine learning models for fare prediction, demand forecasting, and customer segmentation.
• Implement ML Flow for experiment tracking, model versioning, and dataset management.
• Deploy and manage models on cloud platforms ensuring scalability and reliability.
• Analyze large structured and unstructured datasets to identify trends and actionable insights.
• Collaborate with Engineering, Product, Marketing, and Finance teams on data-driven initiatives.
• Develop and maintain data pipelines for ingestion, transformation, and modeling.
• Conduct statistical analysis, hypothesis testing, and A/B testing for product decisions.
• Create visualizations, dashboards, and reports to communicate insights effectively.
• Contribute to automation and development of scalable data science tools.

Mandatory Skills

• Data Science – Applied machine learning, predictive modeling, statistical analysis.
• Python – Strong programming and analytical coding experience.
• SQL – Expertise in querying, database management, and handling large datasets.

Preferred / Good-to-Have Skills

• Machine Learning Frameworks: PyTorch, TensorFlow, JAX, Keras, Scikit-learn, Distributed Model Training.
• Programming & Development: PySpark, Julia, MATLAB, Git, GitLab, Docker, CI/CD pipelines, MLOps.
• Cloud & Deployment: AWS SageMaker, MLFlow, Model Deployment & Scaling.
• Data Engineering & Analytics: Pandas, NumPy, Spark, Hadoop, Feature Engineering, Data Preprocessing.
• Visualization: Tableau, Power BI, Looker, Matplotlib, Seaborn.
• Databases & Querying: Snowflake, Databricks.
• Big Data & Monitoring: Kubernetes, Model Monitoring.
• Computer Vision (Optional): CNN, RNN, OpenCV, Kornia, Image/Video Analytics.
• NLP / Deep Learning: Transformers, LLMs, Recommendation Systems.
• Domain Knowledge: Travel industry, GDS APIs (Amadeus, Sabre), flight search optimization, pricing models.
• System Design: HLD/LLD for production-scale ML workflows.

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