Junior Data Scientist (Remote)

At Why Hiring, we partner with companies across the UAE that are investing in the future of technology, data-driven decision-making, and digital innovation.

We help connect ambitious professionals with opportunities where they can grow, contribute, and build meaningful careers while working on impactful projects across rapidly evolving industries.

Our client is a fast-growing e-commerce and retail technology company that leverages data to optimize customer experiences, improve marketing performance, and drive business growth across the Middle East.

We are looking for a curious and motivated Junior Data Scientist to join a fully remote team.

This opportunity is ideal for recent graduates, career changers, and early-career professionals who want to gain hands-on experience solving real business challenges with data.

You will work alongside experienced analysts, engineers, and business stakeholders to transform data into actionable insights that support strategic decision-making.

Analyze customer, sales, and marketing data to identify trends and opportunities.

Assist in building predictive and machine learning models.

Prepare, clean, and validate datasets for analysis.

Create reports, dashboards, and visualizations to communicate findings.

Support experimentation and A/B testing initiatives.

Collaborate with cross-functional teams on data-driven projects.

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Basic knowledge of Python and SQL.

Understanding of statistics and machine learning fundamentals.

Strong analytical and problem-solving skills.

Good written and verbal communication skills in English.

Ability to work effectively in a remote environment.

Personal, academic, or bootcamp data science projects.

with Pandas, NumPy, Scikit-learn, Power BI, or Tableau.

GitHub portfolio showcasing data-related work.

Fully remote working environment.

Structured mentorship and onboarding.

Continuous learning and development opportunities.

Exposure to real-world business and analytics challenges.