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Sports Scientist - Singapore - KIDDO SPORTS PTE. LTD.
Description
Roles & ResponsibilitiesLion City Sailors FC is a young but very ambitious club based in Singapore. The goal is to set a new standard in Singapore football and to become one of South-East Asia's finest football academies. With a brand-new training facility and a diverse Singaporean/International team of coaches and specialists, we seek to build a better future for Singapore Football.
Job Description
The Academy Sports Scientist will work with youth players from the Lion City Sailors Academy Elite program. He or she will be primarily responsible for the collection and processing of football performance data, such as external load (GPS system), internal load (heart rate monitoring), match action/event data, and physical wellness data. In addition, the Lead Sports Scientist will also be responsible for carrying out Strength & Conditioning programs in the gym and on-field Performance sessions for the Foundation teams.
The Academy Sports Scientist needs to be a highly motivated individual that is comfortable working in a fast-paced, professional football environment. Due to the high volume of data being collected and processed daily, the individual must also be confident working with large amounts of data.
Job Requirements
An Undergraduate degree or Diploma in Sport Coaching or Sport & Exercise Science.
High competency with Microsoft Excel/Google Sheets
High technological literacy – able to quickly learn how to use new software programs and hardware devices.
Competency in leading Strength & Conditioning programs in the gym and on the field.
Internationally Accredited Strength & Conditioning Certifications (e.g., NSCA or ASCA) would be a plus.
Ability to code (Python/R) would be an advantage.
Experience as a high-performance athlete (in football or other sports) would be an advantage.
Tell employers what skills you haveCoaching
Machine Learning
Big Data
Hardware
Literacy
Football
Hadoop
Mathematics
Data Mining
SQL
Python
Statistics
Data Science
Java
Data Analytics
Exercise Science
