Data Science Partner

Designation:

Partner

Position:

Data Science Instructor Mentor (Part-Time)

Job Type:

Consultant

Benefits:

Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes.

Reports to:

Founder/CEO

Job Overview

The Data Science Mentor will provide strategic training and mentorship to Eduroids' students on a part-time basis, focusing on equipping them with industry-relevant data science skills. This role involves delivering interactive sessions, developing comprehensive course materials, and offering personalised guidance to prepare students for real-world challenges in data science.

Key Responsibilities

• Training Delivery:
  Conduct weekend sessions focusing on core data science concepts, tools, and techniques, including machine learning, data modelling, and statistical analysis.
• Curriculum Development:
  Develop and regularly update course content to reflect the latest advancements in data science and align with industry requirements.
• Hands-On Learning:
  Lead participants through practical exercises, real-world projects, and case studies to build their expertise in data science workflows.
• Mentorship:
  Provide one-on-one guidance, address queries, and support students in mastering complex concepts and techniques.
• Industry Alignment:
  Ensure that training sessions are tailored to match industry trends and emphasize practical applications of data science methodologies.
• Assessment and Feedback:
  Evaluate student performance through assessments, offer constructive feedback, and recommend areas for growth and improvement.
• Knowledge Transfer:
  Share industry insights and examples to bridge the gap between academic learning and real-world applications.

Key Measures

• Student Progress:
  Track and evaluate participant growth, ensuring they demonstrate competency in data science concepts and techniques.
• Industry Relevance:
  Maintain a curriculum that aligns with industry demands, emerging technologies, and data science best practices.
• Feedback Scores:
  Achieve high satisfaction and engagement ratings from participants for the quality of instruction and mentorship.
• Project Completion:
  Ensure students complete hands-on projects showcasing their ability to solve complex data problems.

Qualifications

• Education:
  Bachelor’s or Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, or a related field.
• Experience:
  • Minimum of 15 years of professional experience in Data Science or related fields.
  • Hands-on experience with Fortune 500 companies is preferred.
  • Proven expertise in machine learning, data modelling, and statistical analysis.
• Technical Skills:
  • Proficiency in Python, R, and SQL.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Advanced knowledge of data visualization platforms like Tableau, Power BI, or Matplotlib/Seaborn.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data tools like Spark and Hadoop.
• Soft Skills:
  • Excellent communication and teaching skills.
  • Ability to simplify and explain complex concepts to learners of varying expertise.
  • A passion for mentoring and helping students achieve their career goals.

Personal Attributes

• Enthusiastic about empowering the next generation of data scientists.
• Resilient and adaptable, with a focus on continuous learning and improvement.
• Collaborative and supportive mentor who fosters a positive and inclusive learning environment.

Benefits

• Competitive compensation based on hourly or project-based engagement.
• Flexible remote working opportunities.
• Opportunity to shape future data scientists and impact their career success.
• Collaborative and forward-thinking work culture.