Junior Data Scientist
@ Why Hiring

Hybrid
$80,000
Hybrid
Full Time
Posted 5 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @whyhiring.com
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Job Details

Position Summary

A motivated Junior Data Scientist is sought to join a growing team at Why Hiring. This role suits an early-career professional with approximately one year of experience and a strong interest in data-driven decision-making.

Key Responsibilities

  • Collaborate with data scientists and cross-functional teams for model development.
  • Clean, structure, and analyze large datasets to identify patterns and trends.
  • Develop and maintain Python scripts, analytical tools, and data workflows.
  • Assist in building and testing statistical and machine-learning models.
  • Create clear reports, visualizations, and presentations to communicate findings.
  • Support model monitoring and performance evaluation tasks.

Requirements

  • Strong foundation in Python and familiarity with key data libraries (pandas, NumPy, scikit-learn).
  • Basic understanding of linear models and statistical concepts.
  • Experience with datasets and performing exploratory analysis.
  • Strong analytical mindset and attention to detail.
  • Effective communication and teamwork skills.
  • Willingness to relocate to Dubai, UAE after an initial remote period.

Preferred Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related field.
  • Familiarity with SQL or similar data-querying tools.
  • Exposure to data visualization tools (Tableau, Power BI) or cloud platforms (AWS, GCP).
  • Previous internship or project experience involving data analysis or machine learning.

Key skills/competency

Python, pandas, NumPy, scikit-learn, machine-learning, statistics, analytics, SQL, data-cleaning, visualization

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How to Get Hired at Why Hiring

🎯 Tips for Getting Hired

  • Research Why Hiring's culture: Explore their mission and recent projects.
  • Tailor your resume: Highlight Python and analytics skills.
  • Prepare for technical tests: Review statistical and ML fundamentals.
  • Showcase teamwork: Emphasize collaboration experience.
  • Follow application tips: Use clear, concise examples of your work.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and data manipulation techniques.
Practice coding statistical analysis problems.
Build small projects with pandas and NumPy.
Familiarize with machine learning model basics.

Behavioral Questions

Describe a team project challenge.
Explain your problem-solving process succinctly.
Discuss adapting to new tools quickly.
Share a communication success story.

Frequently Asked Questions