Job
Description
Delhi , India 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.
