Data Scientist
tiket.com
Tanggal: 1 hari yang lalu
Kota: Pekerjaan jarak jauh, Pekerjaan jarak jauh
Jenis kontrak: Penuh waktu
Jarak jauh
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
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.
- 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.
Cara melamar
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