Junior Data Scientist

Why Hiring • United Arab Emirates
Remote
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AI Summary

Why Hiring is seeking a Junior Data Scientist to support data-driven decision making. The role involves applying machine learning, statistical analysis, and data visualization to real-world problems. Responsibilities include analyzing datasets, building and testing machine learning models, and creating dashboards.

Key Highlights
Junior Data Scientist role
Key Responsibilities
Analyze structured and unstructured datasets to identify patterns and insights
Assist in building and testing machine learning models
Create dashboards and visualizations to communicate findings clearly
Technical Skills Required
Python SQL
Benefits & Perks
Fully remote work environment
Exposure to international datasets and business problems
Mentorship from experienced data scientists
Nice to Have
AWS
Azure
GCP
Tableau
Power BI
Matplotlib
TensorFlow
PyTorch

Job Description


A growing analytics team based in the UAE is seeking a Junior Data Scientist to support data-driven decision making across multiple business functions. This role is ideal for early-career professionals interested in applying machine learning, statistical analysis, and data visualization to real-world problems while working in a collaborative international environment.


Key Responsibilities

  • Analyze structured and unstructured datasets to identify patterns and insights
  • Assist in building and testing machine learning models
  • Clean, preprocess, and validate large datasets
  • Create dashboards and visualizations to communicate findings clearly
  • Collaborate with data engineers and analysts on ongoing projects
  • Support experimentation and data-driven product improvements


Requirements

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
  • 0–2 years of experience in data science, analytics, or related roles
  • Proficiency in Python (Pandas, NumPy, Scikit-learn) or R
  • Experience with SQL and data querying
  • Familiarity with machine learning concepts and statistical modeling
  • Basic knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib
  • Strong analytical and problem-solving skills


Nice to Have

  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch
  • Exposure to real-world datasets through projects, internships, or research


What This Role Offers

  • Fully remote work environment
  • Exposure to international datasets and business problems
  • Mentorship from experienced data scientists
  • Opportunity to grow into a mid-level data science role

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