Data Science Instructor L1
Mastering Up is a dynamic digital learning platform dedicated to providing high-quality education in data science. Were seeking a talented and enthusiastic Level 1 Data Science Instructor to join our team and develop engaging online courses.
Responsibilities:
Develop and deliver compelling online content covering a variety of data science topics, adhering to our curriculum and learning objectives.
Utilize various multimedia elements like data visualizations, interactive coding exercises, and real-world case studies to create dynamic learning experiences.
Craft clear and concise explanations of data science concepts, including statistics, machine learning, and programming, ensuring learners with varying backgrounds can grasp the material.
Collaborate with instructional designers and subject matter experts to guarantee course accuracy, technical depth, and practical application in real-world data analysis scenarios.
Participate in the ongoing review and improvement of existing data science course content.
Respond to learner questions and concerns in a timely and helpful manner, fostering a supportive learning environment.
Stay up-to-date on the latest advancements and trends within the data science field, including new tools, techniques, and best practices.
Qualifications:
Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a closely related field (or equivalent experience).
Proven experience in explaining technical concepts related to data science and programming to a general audience.
Excellent written and verbal communication skills.
Ability to create engaging and interactive online content, including coding demonstrations and explanations of data analysis techniques (a plus).
Strong understanding of adult learning principles and methodologies.
Passion for data science and a desire to share your knowledge with aspiring data analysts and professionals.
Proficiency in using online learning platforms is preferred.
Experience with popular data science programming languages (e.g., Python, R) and tools (e.g., pandas, scikit-learn) is a plus.
Bonus points for:
Experience developing online courses or other instructional materials for data science topics.
Industry experience in data analysis, machine learning, or related fields.
Knowledge of specific data science sub-disciplines (e.g., natural language processing, computer vision, big data).
A captivating and engaging teaching style that fosters a love for learning about data and its potential to solve real-world problems.
What Mastering Up Offers:
The opportunity to be part of a fast-paced and innovative EdTech company at the forefront of data science education.
Make a real difference by contributing to high-quality data science education for the next generation of data professionals.
Develop your skills in online course development and instructional design for data science topics.
Work from the comfort of your own home (remote position).
Competitive salary and benefits package.
Note: Salary will be based on video revenue generation.
Job Type: Part-time
Pay: ?6,000.00 - ?10,000.00 per month
Schedule:
Day shift
Experience:
total work: 1 year (Required)
Work Location: Remote
Apply Now
Responsibilities:
Develop and deliver compelling online content covering a variety of data science topics, adhering to our curriculum and learning objectives.
Utilize various multimedia elements like data visualizations, interactive coding exercises, and real-world case studies to create dynamic learning experiences.
Craft clear and concise explanations of data science concepts, including statistics, machine learning, and programming, ensuring learners with varying backgrounds can grasp the material.
Collaborate with instructional designers and subject matter experts to guarantee course accuracy, technical depth, and practical application in real-world data analysis scenarios.
Participate in the ongoing review and improvement of existing data science course content.
Respond to learner questions and concerns in a timely and helpful manner, fostering a supportive learning environment.
Stay up-to-date on the latest advancements and trends within the data science field, including new tools, techniques, and best practices.
Qualifications:
Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a closely related field (or equivalent experience).
Proven experience in explaining technical concepts related to data science and programming to a general audience.
Excellent written and verbal communication skills.
Ability to create engaging and interactive online content, including coding demonstrations and explanations of data analysis techniques (a plus).
Strong understanding of adult learning principles and methodologies.
Passion for data science and a desire to share your knowledge with aspiring data analysts and professionals.
Proficiency in using online learning platforms is preferred.
Experience with popular data science programming languages (e.g., Python, R) and tools (e.g., pandas, scikit-learn) is a plus.
Bonus points for:
Experience developing online courses or other instructional materials for data science topics.
Industry experience in data analysis, machine learning, or related fields.
Knowledge of specific data science sub-disciplines (e.g., natural language processing, computer vision, big data).
A captivating and engaging teaching style that fosters a love for learning about data and its potential to solve real-world problems.
What Mastering Up Offers:
The opportunity to be part of a fast-paced and innovative EdTech company at the forefront of data science education.
Make a real difference by contributing to high-quality data science education for the next generation of data professionals.
Develop your skills in online course development and instructional design for data science topics.
Work from the comfort of your own home (remote position).
Competitive salary and benefits package.
Note: Salary will be based on video revenue generation.
Job Type: Part-time
Pay: ?6,000.00 - ?10,000.00 per month
Schedule:
Day shift
Experience:
total work: 1 year (Required)
Work Location: Remote
Apply Now