1to10x | Data Science Intern | Remote | 2024-07-31

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Job Location: Remote

Job Detail:

Role & responsibilities

  • Assist in the development of data science projects, including data collection, analysis, and model building.
  • Create engaging and informative content for our training programs, including tutorials, case studies, and project documentation.
  • Collaborate with senior data scientists to develop innovative solutions and improve existing training materials.
  • Participate in brainstorming sessions to generate new ideas for content and projects.
  • Conduct research on the latest trends and advancements in the field of data science to ensure our training programs remain up-to-date.
  • Provide support to learners by answering questions, reviewing assignments, and offering feedback.

Preferred candidate profile

Requirements:

  • Currently pursuing or recently completed a training/degree on Data Science, Computer Science, Statistics or a related field.
  • Strong understanding of data science concepts, including data preprocessing, statistical analysis, machine learning, and data visualization.
  • Proficiency in programming languages such as Python.
  • Experience with data science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or similar.
  • Excellent written and verbal communication skills.
  • Ability to work independently and as part of a team.
  • Strong analytical and problem-solving skills.
  • Passion for teaching and sharing knowledge with others.

Preferred Qualifications:

  • Previous experience in content creation or teaching.
  • Familiarity with SQL and database management.
  • Knowledge of tools like Tableau/Power BI for dashboards

Perks and benefits

  • Gain hands-on experience working on real-world data science projects.
  • Receive mentorship and guidance from experienced data scientists.
  • Enhance your portfolio with diverse and impactful projects.
  • Flexible working hours.
  • Opportunity to contribute to a rapidly growing company and make a difference in the field of data science education.

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