Lead/Staff Data Scientist

4 - 8 years

Delhi All india

Posted:8 months ago

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Job Description

As a data scientist at Agoda in Bangkok, you will be part of the Data Science and Machine Learning (AI/ML) team working on challenging projects involving dynamic pricing, customer intent prediction, search result ranking, content classification, personalization, and algorithm-supported promotions. You will have the opportunity to leverage a large ML infrastructure to innovate the user experience. - Design, code, experiment, and implement models and algorithms to enhance customer experience, business outcomes, and infrastructure readiness. - Analyze a vast amount of customer data and user-generated events to derive actionable insights for improvements and innovation. - Collaborate with developers and various stakeholders to deliver high-quality daily results. - Research and explore new ideas that can drive positive change and make a difference. Qualifications Required: - 4 years of hands-on data science experience. - Strong understanding of AI/ML/DL, Statistics, and proficiency in coding with open source libraries and frameworks. - Proficiency in SQL, Python, PySpark, and/or Scala. - Ability to work independently, lead, and collaborate effectively in a team. - Excellent communication and interpersonal skills for a multicultural work environment. Agoda, headquartered in Bangkok and part of Booking Holdings, fosters a diverse and collaborative work environment with employees from over 95 nationalities. The Data department at Agoda enables data usage through innovative approaches and powerful resources, empowering decision-making for various stakeholders and enhancing the customer search experience while combating fraudulent activities. Agoda welcomes both local and international applications for the data scientist role, offering full visa sponsorship and relocation assistance for eligible candidates. Your application will be kept on file for future opportunities, and you can request the removal of your details at any time as per the privacy policy. As a data scientist at Agoda in Bangkok, you will be part of the Data Science and Machine Learning (AI/ML) team working on challenging projects involving dynamic pricing, customer intent prediction, search result ranking, content classification, personalization, and algorithm-supported promotions. You will have the opportunity to leverage a large ML infrastructure to innovate the user experience. - Design, code, experiment, and implement models and algorithms to enhance customer experience, business outcomes, and infrastructure readiness. - Analyze a vast amount of customer data and user-generated events to derive actionable insights for improvements and innovation. - Collaborate with developers and various stakeholders to deliver high-quality daily results. - Research and explore new ideas that can drive positive change and make a difference. Qualifications Required: - 4 years of hands-on data science experience. - Strong understanding of AI/ML/DL, Statistics, and proficiency in coding with open source libraries and frameworks. - Proficiency in SQL, Python, PySpark, and/or Scala. - Ability to work independently, lead, and collaborate effectively in a team. - Excellent communication and interpersonal skills for a multicultural work environment. Agoda, headquartered in Bangkok and part of Booking Holdings, fosters a diverse and collaborative work environment with employees from over 95 nationalities. The Data department at Agoda enables data usage through innovative approaches and powerful resources, empowering decision-making for various stakeholders and enhancing the customer search experience while combating fraudulent activities. Agoda welcomes both local and international applications for the data scientist role, offering full visa sponsorship and relocation assistance for eligible candidates. Your application will be kept on file for future opportunities, and you can request the removal of your details at any time as per the privacy policy.

Skills Required

statistics sql python scala aimldl pyspark

Work Mode

On-site

Job Type

Full Time

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