Data Scientist ( 3+ years Exp)
Description
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
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Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
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Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
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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.
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Plan, monitor, and evaluate A/B tests and other experimentation activities for ML models, including test design, success metrics, and model performance assessment.
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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.
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Implement processes, dashboards, and tools to monitor data quality, model performance, and business impact, and iterate on solutions based on findings.
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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
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Minimum 3 years of hands‑on experience in data analysis and machine learning, ideally in a product‑driven or business‑focused environment.
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A Bachelor in Computer Science, Statistics, Mathematics, or another quantitative field.
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Strong problem solving skills with an emphasis on product development.
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Proficient in programming skills (R, Python, SQL, etc.) for data acquisition, processing and analysis from large data sets.
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Knowledge of data science concepts (regression, classification, clustering, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
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Knowledge of a variety of machine learning techniques (Random forest, SVM, artificial neural networks, etc.) and their real-world advantages/drawbacks.
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Excellent written and verbal communication skills for coordinating across teams.
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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 .