Data Scientist

We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip.

That is exactly what we are tackling as t-fam! Making sure that our 50+ million users have the best experience in crafting their own adventure.

Your main duties in flying with us :

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

• Design, build, and validate robust data models and machine learning/ deep learning algorithms to improve customer experience, optimize revenue, refine targeting, and support smarter decision making across the organization.

• Plan, monitor, and evaluate A/B tests and other experimentation activities for ML models, including test design, success metrics, and model performance assessment.

• Collaborate closely with machine learning engineers, and other stakeholders to productionize models, build scalable data pipelines, and ensure reliable deployment and monitoring of ML solutions.

• Implement processes, dashboards, and tools to monitor data quality, model performance, and business impact, and iterate on solutions based on findings.

• Communicate insights, trade‑offs, and recommendations clearly to both technical and non‑technical audiences through reports, visualizations, and presentations.

Mandatory belongings that you must prepare :

• Minimum 4 years of hands‑on experience in data analysis and machine learning, ideally in a product‑driven or business‑focused environment.

• A Bachelor in Computer Science, Statistics, Mathematics, or another quantitative field.

• Strong problem solving skills with an emphasis on product development.

• Proficient in programming skills (R, Python, SQL, etc.) for data acquisition, processing and analysis from large data sets.

• Knowledge of data science concepts (regression, classification, clustering, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Knowledge of a variety of machine learning techniques (Random forest, SVM, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Excellent written and verbal communication skills for coordinating across teams.

• A drive to learn and master new technologies and techniques.

In the event that you haven’t received any updates after 3 weeks, your data will be kept and we may contact you for another career destination. Meanwhile, discover more about tiket.com on Instagram, LinkedIn, or YouTube.