Junior Data Scientist

Location: Remote (UAE-based candidates preferred)

Employment Type: Full-time

Experience Level: Junior / Entry-Level

About the Role

• We’re seeking a motivated Junior Data Scientist who’s eager to turn data into meaningful insights and grow in a dynamic, collaborative environment. This fully remote role is open to candidates based in the UAE. You’ll work alongside senior data scientists, analysts, and business stakeholders to help tackle real-world challenges through data-driven solutions.

Key Responsibilities

• Assist with collecting, cleaning, and preparing both structured and unstructured data
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights
• Build, test, and evaluate basic statistical and machine learning models
• Develop dashboards, visualizations, and reports to clearly communicate findings
• Support data-driven decision-making across multiple teams
• Document processes, methodologies, and results in a clear and organized manner
• Continuously learn and apply new data science tools, techniques, and best practices

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
• 0–1 years of experience in data analysis or data science (internships included)
• Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R
• Basic understanding of statistical analysis and machine learning concepts
• Experience working with SQL and relational databases
• Familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, or Tableau
• Strong analytical and problem-solving skills with great attention to detail
• Good communication skills and the ability to work effectively in a remote setup

Nice to Have

• Experience with cloud platforms (AWS, Azure, or GCP)
• Exposure to big data technologies (Spark, Hadoop)
• Familiarity with version control tools (Git)
• Personal projects, a GitHub portfolio, or Kaggle experience

What We Offer

• Fully remote work within the UAE
• Competitive salary aligned with experience
• Flexible working hours
• Ongoing learning and professional development opportunities
• A supportive and collaborative team culture