data scientist Remote
Job description
We are seeking a skilled and passionate Data Science Trainer to join our team and deliver high-quality training sessions to our students remotely through our app. As a Data Science Trainer, you will be responsible for creating and delivering engaging and interactive learning experiences to help students gain a comprehensive understanding of data science concepts and techniques. This is a part-time position, and the training sessions will be conducted on weekends.
Responsibilities:
Develop Curriculum: Create a well-structured curriculum for data science training sessions, incorporating essential topics such as statistical analysis, machine learning, data visualization, and data mining.
Deliver Engaging Training Sessions: Conduct virtual training sessions via our app, delivering lectures, presentations, and hands-on exercises to ensure students grasp the fundamentals and practical applications of data science.
Adapt Teaching Methods: Tailor teaching methods to accommodate students with diverse learning styles and skill levels, employing various instructional techniques, including visual aids, real-world examples, and interactive exercises.
Provide Mentorship and Guidance: Offer personalized guidance and mentorship to students, addressing their questions, clarifying doubts, and providing additional resources to support their learning journey.
Assess Student Progress: Monitor and evaluate student performance through assignments, quizzes, and assessments to gauge their understanding of the subject matter and identify areas that require additional focus.
Provide Feedback: Offer constructive feedback and suggestions to students, highlighting areas of improvement and recommending strategies for enhancing their data science skills.
Stay Updated: Continuously update your knowledge of the latest trends and advancements in the field of data science to ensure the training content remains relevant and up-to-date.
Collaborate with Team: Collaborate with the training team to contribute to the improvement of training materials, course content, and instructional methodologies.
Requirements:
Educational Background: A bachelor's or master's degree in computer science, data science, statistics, or a related field is preferred. Equivalent professional experience may also be considered.
Expertise in Data Science: Strong knowledge and hands-on experience in data science concepts, tools, and techniques, including but not limited to statistical analysis, machine learning, data visualization, and programming languages such as Python or R.
Teaching Experience: Previous experience as a data science trainer or instructor is highly desirable. Experience in developing curriculum, delivering training sessions, and mentoring students is an advantage.
Excellent Communication Skills: Exceptional verbal and written communication skills are essential to effectively convey complex data science concepts to students. Fluency in English is required.
Passion for Teaching: A genuine passion for teaching and the ability to inspire and motivate students to excel in their learning journey.
Remote Training Experience: Familiarity with conducting remote training sessions using video conferencing tools, virtual learning platforms, or educational apps is preferred.
Time Management: Strong organizational and time management skills to effectively plan and deliver training sessions within the allocated time frames.
Continuous Learning: A commitment to continuous learning and professional development in the field of data science.
Location: Remote (Training sessions conducted through our app)
Schedule: Part-time, weekends (specific time slots to be determined)
If you are passionate about data science and enjoy sharing your knowledge with others, we would love to have you join our team as a Data Science Trainer. Apply now and help shape the future of aspiring data scientists through our innovative learning platform!
Job Type: Freelance
Salary: From $40.00 per hour
Benefits:
- Company events
- Paid time off
- Work from home
Flexible Language Requirement:
- French not required
Schedule:
- Weekend availability
Supplemental pay types:
- Overtime pay
Experience:
- Machine learning: 1 year (preferred)
Work Location: Remote
Expected start date: 2023-07-01
