about the company
a cutting-edge company specializing in sports analytics. Leveraging advanced data analysis and machine learning technologies, they provide real-time insights and predictive analytics for various sports events. they aim to enhance the gaming experience by offering detailed statistical breakdowns, player performance metrics, and game predictions. Their innovative approach helps sports enthusiasts and bettors make informed decisions, setting a new standard in the industry.
about the role
we are looking for a talented and driven data scientist to join our team. The ideal candidate should possess a robust foundation in statistics, machine learning, and programming, coupled with hands-on experience handling large and intricate datasets.
about the job
- develop and implement data-driven solutions to business problems using statistical analysis, machine learning techniques, and data visualization
- build and maintain predictive models to support decision making and drive business growth
- present findings and recommendations to stakeholders in a clear and concise manner
- conduct research and stay up-to-date on the latest trends and techniques in the field of data science
knowledge, skills and experience
- advanced degree in a relevant field, such as computer science, data science, statistics, or mathematics
- strong proficiency in Python programming
- familiarity with machine learning libraries and frameworks, such as scikit-learn or TensorFlow
- experience applying machine learning techniques and methodologies
- competence in data management and handling large and intricate datasets
- background in experimental design, hypothesis testing, and causal inference
... preferred qualifications
- master's degree in a relevant field
- experience with data visualization tools like Tableau or Power BI
- exposure to deep learning methods
- background in handling unstructured data or unconventional data sources
- practical experience applying data for business decision-making
how to apply
interested candidates may contact Hua Hui at +6017 960 0313 for a confidential discussion.