Junior Data Scientist & AI
@ Joinrs

Hybrid
$90,000
Hybrid
Full Time
Posted 22 days ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXX***** @joinrs.com
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Job Details

About the Role

Joinrs is looking for a Junior Data Scientist & AI to join our team. The role is designed for students, recent graduates, and junior professionals with an interest in data science and artificial intelligence. You will work on machine learning algorithms, data analysis and modeling, data visualization, and optimization of business processes.

Key Responsibilities

  • Implement and test machine learning algorithms for intelligent solutions.
  • Perform data analysis and predictive modeling.
  • Create interactive data visualizations and dashboards.
  • Optimize business processes using data-driven techniques.
  • Participate in brainstorming sessions for innovative AI ideas.

What We Offer

You will enjoy a fully remote work environment with flexibility, a dynamic office space when desired, team building activities, and a comprehensive company welfare package. Additional benefits include a state-of-the-art MacBook, continuous training, and real opportunities for exponential personal growth.

Contract & Compensation

This is a 6-month internship contract with a prorated annual salary of $90,000, and the potential for a permanent contract upon successful performance. Salary reviews occur every six months.

Selection Process

  • CV Screening within 20 days of application.
  • 15-minute phone interview with our HR Manager.
  • 45-minute video interview with HR Manager and potential supervisor.

Key Skills/Competency

  • Machine Learning
  • Data Analysis
  • Data Modeling
  • Data Visualization
  • Business Process Optimization
  • Remote Collaboration
  • Continuous Training
  • Teamwork
  • Startup Growth
  • AI Implementation
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How to Get Hired at Joinrs

🎯 Tips for Getting Hired

  • Customize Your Resume: Highlight machine learning and data skills.
  • Research Joinrs Culture: Review their mission and startup success.
  • Prepare Real Examples: Showcase academic and internship projects.
  • Practice Interview Questions: Focus on technical and behavioral scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review Python and data libraries basics.
Practice implementing ML algorithms on datasets.
Build simple predictive models using sample data.
Study data visualization tools and dashboard creation.

Behavioral Questions

Describe a team project challenge you faced.
Explain how you manage deadlines effectively.
Share an example of using feedback for improvement.
Discuss a conflict resolution experience in teamwork.

Frequently Asked Questions