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Junior Data Scientist & AI
Joinrs
HybridHybrid
Original Job Summary
About the Role
Joinrs is seeking a Junior Data Scientist & AI to support recent graduates and junior professionals in achieving their career ambitions. This is a 6-month internship with the opportunity to grow into a permanent position while working fully remote. You will be provided a latest generation MacBook and on-the-job training.
Responsibilities
- Implement and test machine learning algorithms as part of Joinrs AI.
- Conduct data analysis and develop predictive models for business insights.
- Create interactive data visualizations and dashboards.
- Optimize business processes using data-driven solutions.
- Participate in technological brainstorming sessions.
- Engage in continuous training on the latest trends in Data Science and AI.
What We Offer
- Remote work flexibility with optional office access.
- A dynamic work environment with shared workspaces and recreational areas.
- Regular team building events and social outings.
- A comprehensive company welfare package.
- State-of-the-art tech pack including a latest-generation MacBook.
- Mentorship and continuous professional training.
- Opportunities to support social impact and help graduates achieve their goals.
Contract & Compensation
This is a 6-month internship contract with an annualized salary of $90,000 USD, prorated based on the internship period. Salary reviews occur every six months with potential for rapid increase based on performance.
Selection Process
- CV Screening within 20 days of application.
- A 15-minute phone interview with HR.
- A 45-minute video interview with HR and your future supervisor.
Key Skills/Competency
- Machine Learning
- Data Analysis
- Predictive Modeling
- Data Visualization
- Business Optimization
- Brainstorming
- Remote Work
- Internship
- AI
- Training
How to Get Hired at Joinrs
🎯 Tips for Getting Hired
- Research Joinrs culture: Review mission, values, and recent news.
- Customize your resume: Tailor content to data science skills.
- Prepare for technical interviews: Practice machine learning and analytics.
- Highlight remote work experience: Demonstrate effective self-management.
- Follow application instructions: Ensure CV fits the profile requirements.
📝 Interview Preparation Advice
Technical Preparation
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Review machine learning algorithms and implementations.
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Practice data analysis with real datasets.
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Familiarize with data visualization software tools.
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Understand predictive modeling techniques basics.
Behavioral Questions
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Explain a teamwork challenge you overcame.
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Describe handling feedback in slow-paced projects.
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Share an experience with self-directed learning.
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Discuss time management in remote work environments.