Data Science Engineer / Senior Research Engineer @ Ixigo
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About ixigo
Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo is a technology company focused on empowering Indian travelers to plan, book and manage their trips across rail, air, buses and hotels. AbhiBus, part of the Ixigo group, is India’s leading online bus ticketing platform connecting millions of travellers with 5000+ private operators and multiple State Transport Corporations.
Role Overview
The Data Science Engineer / Senior Research Engineer role at Abhibus sits at the intersection of AI/ML, classical data science, and data engineering. You will design and implement ML models, build robust data pipelines, and generate insights that drive product strategy for millions of travellers.
Key Responsibilities
- Design AI-driven features for search, personalization, pricing, and fraud detection.
- Develop, maintain and optimize ETL/data pipelines for ML model training and analytics.
- Translate business requirements into scalable models and production systems.
- Perform statistical analysis, A/B testing, and causal inference for experiments.
- Adapt academic research for practical, product-oriented applications.
Qualifications & Skills
Background in Computer Science, Engineering, or Mathematics with 2–6 years of experience. Strong fundamentals in algorithms, data structures, ML/DL, and statistics with proficiency in Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy) and hands-on experience with SQL and data pipeline tools (Airflow, Spark, Kafka, dbt).
Preferred Skills
Experience with cloud platforms (AWS, GCP, Azure), ML deployment tools, and big data technologies. Contributions to open-source ML or published research are a plus.
Key skills/competency
Data Science Engineer / Senior Research Engineer: AI/ML, Data Science, Data Engineering, ML Modeling, ETL, Python, TensorFlow, SQL, Statistical Analysis, Cloud Platforms.
How to Get Hired at Ixigo
🎯 Tips for Getting Hired
- Research ixigo's culture: Study their mission and recent tech innovations.
- Customize your resume: Highlight AI/ML and data pipeline projects.
- Showcase technical skills: Emphasize Python, SQL, and cloud experiences.
- Prepare for interviews: Review case studies and data science challenges.