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Lead Data Scientist

Lead Data Scientist

TBO.COMGurugram, Haryana, India
2 days ago
Job description

Location : Gurgaon tbo.com Office Address : Floor 22, Tower C, Epitome Building No. 5,DLF Cyber city, DLF phase 2,Gurgaon - 122002, Haryana, India

TBO – Travel Boutique Online Group –(www.tbo.com)

TBO is a global platform that aims to simplify all buying and selling travel needs of travel partners across the world. The proprietary technology platform aims to simplify the demands of the complex world of global travel by seamlessly connecting the highly distributed travel buyers and travel suppliers at scale.

The TBO journey began in 2006 with a simple goal – to address the evolving needs of travel buyers and suppliers, and what started off as a single product air ticketing company, has today become the leading B2A (Business to Agents) travel portal across the Americas, UK & Europe, Africa, Middle East, India, and Asia Pacific.

Today, TBO’s product range from air, hotels, rail, holiday packages, car rentals, transfers, sightseeing, cruise, and cargo. Apart from these products, our proprietary platform relies heavily on AI / ML to offer unique listings and products, meeting specific requirements put forth by customers, thus increasing conversions.

TBO’s approach has always been technology-first and we continue to invest on new innovations and new offerings to make travel easy and simple. TBO’s travel APIs are serving large travel ecosystems across the world while the modular architecture of the platform enables new travel products while expanding across new geographies.

Why TBO :

  • You will influence & contribute to “Building World Largest Technology Led Travel Distribution Network” for a $ 9 Trillion global travel business market.
  • We are the emerging leaders in technology led end-to-end travel management, in the B2B space.
  • Physical Presence in 47 countries with business in 110 countries.
  • We are reputed for our-long lasting trusted relationships. We stand by our eco system of suppliers and buyers to service the end customer.
  • An open & informal start-up environment which cares.

What TBO offers to a Life Traveller in You :

  • Enhance Your Leadership Acumen. Join the journey to create global scale and ‘World Best’.
  • Challenge Yourself to do something path breaking. Be Empowered. The only thing to stop you will be your imagination.
  • As we enter the last phase of the pandemic; travel space is likely to see significant growth. Witness and shape this space. It will be one exciting journey.

    • We are a tech-driven organization focused on leveraging data, AI, and scalable cloud infrastructure to drive impactful business decisions. We are looking for a highly skilled and experienced Lead Data Engineer / Scientist with a strong background in machine learning, AI , and big data architecture , ideally from a top-tier engineering

    Key Responsibilities :

  • Design, develop, and maintain robust, scalable, and high-performance data pipelines and ETL processes.
  • Architect and implement large-scale data infrastructure using tools such as Spark, Kafka, Airflow, and cloud platforms (AWS / GCP / Azure).
  • Deploy machine learning models into production.
  • Optimize data workflows to handle structured and unstructured data across various sources.
  • Develop and maintain metadata management, data quality checks, and observability.
  • Drive best practices in data engineering, data governance, and model monitoring.
  • Mentor junior team members and contribute to strategic technology decisions.

    • Must-Have Qualifications :

  • 10+ years of experience in data engineering / Scientist, data architecture, or a related domain.
  • Strong expertise in Python / Scala / Java and SQL.
  • Proven experience with big data tools (Spark, Hadoop, Hive), streaming systems (Kafka, Flink), and workflow orchestration tools (Airflow, Prefect).
  • Deep understanding of data modeling , data warehousing , and distributed systems .
  • Strong exposure to ML / AI pipelines , MLOps, and model lifecycle management.
  • Experience with cloud platforms such as AWS (S3, Redshift, Glue) , GCP (BigQuery, Dataflow) , or Azure (Data Lake, Synapse) .
  • Graduate / Postgraduate from a premium engineering institute (IITs, NITs, BITS, etc.) .
  • Exposure to Statistical Modeling around pricing and churn management is a plus
  • Exposure to fine-tuning LLMs is a plus
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    Lead Data Scientist • Gurugram, Haryana, India