Junior Data Scientist

talentone • United Arab Emirates

Visa Sponsorship

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Explore data, engineer features, and build machine learning models for real business challenges. Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation. Collaborate closely with ML engineers and backend developers to bring successful models into production.

Key Highlights

0–2 years of experience in Data Science welcomed

Strong Python skills with pandas, NumPy, and scikit-learn

Solid understanding of machine learning, statistics, and experimental design

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Key Responsibilities

Explore data, engineer features, and build machine learning models for real business challenges

Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation

Collaborate closely with ML engineers and backend developers to bring successful models into production

Present insights and findings to both technical and non-technical stakeholders

Contribute to a collaborative, data-driven environment focused on continuous learning and innovation

Technical Skills Required

Python Machine Learning SQL

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Benefits & Perks

Competitive salary with annual performance bonus

Comprehensive medical insurance

Visa sponsorship

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Nice to Have

Exposure to Spark

Exposure to Databricks

Exposure to recommendation systems

Exposure to fraud detection

Exposure to SaaS/high-scale product environments

Job Description

Explore data, engineer features, and build machine learning models for real business challenges.
Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation.
Collaborate closely with ML engineers and backend developers to bring successful models into production.
Present insights and findings to both technical and non-technical stakeholders.
Contribute to a collaborative, data-driven environment focused on continuous learning and innovation.

Requirements

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