Estagiário de Dados – Ciência ou Engenharia (Remoto)

Job Overview

Location
Senges, Parana, Brazil
Job Type
FULL_TIME

Additional Details

Job ID
16155
Job Views
919

Job Description

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Job Summary

The Elite Job is seeking a highly motivated and detail-oriented Data Intern specializing in Data Science or Data Engineering. This remote internship offers an excellent opportunity to gain hands-on experience working with cutting-edge data technologies and analytics in a dynamic and innovative environment. The successful candidate will support our data teams in processing, analyzing, and managing large datasets to drive strategic business decisions. This role is ideal for students or recent graduates passionate about data and eager to develop their technical and analytical skills in a real-world setting.


Key Responsibilities

  • Assist in collecting, cleaning, and validating large datasets to ensure data quality and reliability.

  • Support data scientists and engineers in developing algorithms and models to extract actionable insights.

  • Participate in building and maintaining data pipelines and ETL processes.

  • Collaborate with cross-functional teams to understand data needs and contribute to data-driven projects.

  • Document data processes, analysis results, and assist in preparing reports and visualizations.

  • Stay updated with the latest tools, technologies, and trends in data science and engineering.


Required Skills and Qualifications

  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related fields.

  • Basic knowledge of programming languages such as Python, R, or SQL.

  • Familiarity with data manipulation and visualization tools (e.g., Pandas, Matplotlib, Tableau).

  • Understanding of database concepts and data storage technologies.

  • Strong analytical thinking and problem-solving skills.

  • Excellent communication skills, both written and verbal, in English (additional languages are a plus).

  • Ability to work independently and in a remote team environment.


Experience

  • Prior internship or project experience involving data analysis, data engineering, or programming is advantageous but not mandatory.

  • Demonstrated interest in data-driven projects through coursework, competitions, or personal projects is highly desirable.


Working Hours

  • Flexible working hours to accommodate academic commitments, averaging 20-30 hours per week.

  • Fully remote work arrangement, allowing for work from any location with reliable internet access.

  • Periodic virtual team meetings and check-ins to align on goals and progress.


Knowledge, Skills, and Abilities

  • Strong aptitude for mathematics and statistics.

  • Proficiency with data analytics libraries and frameworks.

  • Ability to learn and adapt quickly to new technologies and methods.

  • Attention to detail and commitment to data accuracy.

  • Effective time management and organizational skills.

  • Collaborative mindset and openness to feedback.


Benefits

  • Real-world experience working with a leading companys data team.

  • Mentorship and professional development opportunities.

  • Exposure to advanced data tools and industry best practices.

  • Flexible schedule and remote work environment to support work-life balance.

  • Potential for future full-time employment based on performance.


Why Join The Elite Job?

At The Elite Job, we are committed to fostering a culture of innovation, growth, and inclusion. Joining our team means becoming part of a forward-thinking organization that values talent and creativity. You will have the chance to work on impactful projects, collaborate with seasoned professionals, and build a strong foundation for your career in data science or engineering. Our supportive environment encourages continuous learning and professional development tailored to your goals.


How to Apply

Interested candidates are invited to submit their resume/CV along with a cover letter detailing their interest in data science or engineering and any relevant projects or coursework. Please send your application to us with the subject line:
Application – Estagiário de Dados – Ciência ou Engenharia (Remote).

Applications will be reviewed on a rolling basis until the position is filled. We look forward to welcoming passionate and talented individuals to our team!

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