Senior/Data Scientist - Flight BSD City, Indonesia Regular Data & Business Intelligence 2026.09.29

Traveloka

Pagedangan

On-site

IDR 360,000,000 - 720,000,000

Full time

25 hours ago
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Job summary

Traveloka is seeking a Senior Data Scientist to support analytics for Flight Commercial and Supply domains. You will build data culture, transform raw data into commercial and supply strategy, and influence the product roadmap with actionable insights.

You will design data assets, develop KPIs, and create dashboards that become the single source of truth for performance. The role emphasizes AI/LLM-enabled workflows and automated analytics in a fast-paced travel platform.

Qualifications

  • 3–5+ years of experience in data analytics, BI, data engineering, or data science in travel/e-commerce.
  • Strong SQL and Python skills with statistical analysis experience.
  • Experience with Tableau/Looker/Power BI for building dashboards.
  • ETL development experience and interest in AI/LLM-assisted workflows.

Responsibilities

  • Enable AI Agent Development by designing data assets and evaluating agent outputs against business logic.
  • Drive process automation to reduce turnaround time and free analyst capacity.
  • Define and measure KPIs; maintain dashboards as the single source of truth.
  • Apply simulation modeling and causal inference to forecast supply outcomes and assess impact.

Skills

SQL
Python
Data visualization
ETL pipelines
AI/LLM workflows

Tools

Tableau
Looker
Power BI
ETL tools

Job description

Join Traveloka and channel your passion into a rewarding career

About Traveloka Traveloka is Southeast Asia’s leading all-in-one travel platform connecting millions globally with trusted, world-class experiences. With over 140 million app downloads and more than 40 million monthly active users, Traveloka stands as one of the most popular travel apps in the region.

Job Description

Job ID: MJ000383

About the Team

The Flight Data team turns Traveloka's vast data into actionable insights, fuelling smarter decisions and strategic growth. We empower the business to thrive and redefine how millions plan and enjoy travel.

About the Role

Traveloka is seeking a strategic and hands-on Senior DS to support analytics for our Flight Commercial and Supply domains. This is a high-impact role in which you will provide visibility into operational performance from both supply and commercial perspectives. You will be responsible for building our data culture from the ground up, transforming raw data into commercial and supply strategy, and directly influencing the product roadmap. Your core mission is to ensure we make smart, fast, and accurate decisions through actionable insights, clear success metrics, and increasingly automated and AI-augmented ways of working.

What You’ll Do

  • Enable AI Agent Development: Partner with data/engineering teams to design and curate data assets, feature sets, and evaluation frameworks that power AI agents across the flight domain, including commercial and supply use cases (e.g., supply-anomaly detection, automated reporting agents). Help define what "good" looks like for agent outputs and validate them against business logic.
  • Drive Process Automation: Identify manual, repetitive analytics and reporting workflows across the commercial/supply function and lead their automation, from query/report generation to recurring insight delivery, reducing turnaround time and freeing analyst capacity for higher-value work.
  • Define and Measure Success: Develop, own, and evangelize KPIs and measurement frameworks for commercial and supply performance; build and maintain core dashboards/reports as the "single source of truth."
  • Simulation & Causal Insight Generation: Apply simulation modeling and causal inference to supply price and inventory quality, forecasting expected outcomes prior to implementation and measuring actual impact against a counterfactual baseline to support data-driven decision-making.

Requirements

Technical Proficiency:

  • Expert-level SQL for querying and manipulating large, complex datasets.
  • Strong proficiency in Python (or R) for statistical analysis, data modeling, and automation.
  • Experience with data visualization tools (e.g., Tableau, Looker, Power BI) to build effective dashboards.
  • Data engineering background, with experience building ETL pipelines, is a plus.
  • Exposure to or strong interest in AI/LLM-assisted workflows (e.g., prompt engineering, working with AI agents/copilots, evaluating model or agent outputs), is a plus.

Analytical Rigor:

  • 3-5+ years of experience in data analytics, business intelligence, data engineering, or data science; travel, e-commerce, or airline/flight commercial experience strongly preferred.
  • Comfortable tackling ambiguous problems with custom analyses (e.g., supply/demand forecasting,).
  • Strong business acumen and a proactive, results-oriented mindset, with genuine curiosity about how AI and automation can reshape analytics work.

At Traveloka, we firmly believe in equal opportunities for all because diversity drives creativity and excellence. We encourage individuals from diverse backgrounds to apply for opportunities with us. Our hiring decisions are based on qualifications and merit in accordance with a fair and transparent process, regardless of race, ethnicity, religion, sex, gender identity, sexual orientation, age, marital status, disability, military service, or any other aspect of diversity. Join us in our mission to transform the travel industry and embrace the values that drive us to innovate and serve customers worldwide.Be advised that Traveloka maintains a structured recruitment process and does not entertain unsolicited resumes from recruiting agencies. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement or referral fees in the event that Traveloka eventually employs such candidate. Hence, we will not assume responsibility for any fees incurred for candidates hired through unrequested resumes. Your adherence to our guidelines is greatly appreciated.

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