Job Description: PyMC Sports Analytics Course Developer
We are seeking a highly skilled and passionate PyMC Sports Analytics Course Developer to join our dynamic team. In this role, you will play a crucial part in creating an exceptional course that combines the power of PyMC and Bayesian statistics with real-world sports analytics examples. Our goal is to provide an engaging and competitive learning experience for our students on our state-of-the-art Learning Management System (LMS) with a cutting-edge cloud computing interface.
Responsibilities:
- Develop a comprehensive PyMC-based sports analytics course that encompasses Bayesian statistics and their applications in the world of sports.
- Create engaging and practical content that allows students to learn complex concepts through real-world sports analytics examples.
- Utilize our state-of-the-art cloud computing platform to provide an interactive and immersive learning experience for students.
- Collaborate with subject matter experts, instructional designers, and multimedia developers to enhance course materials.
- Incorporate data used in biomechanics, motion capture, and high-frequency data collection in sports (e.g., wearables) to showcase the practical applications of PyMC and Bayesian statistics in analyzing sports data.
- Conduct thorough research to stay up-to-date with the latest advancements in sports analytics, PyMC, and Bayesian statistics, ensuring the course content remains relevant and cutting-edge.
- Design assessments and assignments to evaluate student understanding and provide constructive feedback.
- Support students by answering their questions, facilitating discussions, and providing guidance throughout the course duration.
Requirements:
- Demonstrated expertise in PyMC and Bayesian statistics, with a strong background in sports analytics.
- Proven experience in course development, instructional design, or related fields.
- Familiarity with Learning Management Systems (LMS) and cloud computing platforms.
- Knowledge of data collection techniques in sports, such as biomechanics, motion capture, and wearable devices.
- Excellent communication skills to convey complex concepts effectively.
- Ability to create engaging and interactive learning experiences for students.
- Strong problem-solving skills and attention to detail.
- Self-motivated and able to work independently, as well as collaboratively in a team environment.
- Passion for sports and a desire to educate and inspire aspiring sports analysts.
If you are a talented PyMC Sports Analytics Course Developer with a passion for teaching and a strong understanding of Bayesian statistics, we invite you to join our team. Together, we can create a groundbreaking course that equips students with the skills and knowledge they need to excel in the exciting field of sports analytics.
We look forward to reviewing your application and discussing how you can contribute to our mission of delivering exceptional education in sports analytics.
Job Type: Contract
Pay: $75.00 - $100.00 per hour
Benefits:
- Flexible schedule
Schedule:
- Choose your own hours
Supplemental pay types:
- Bonus pay
- Commission pay
Work Location: Remote
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