Technical Manager (Data Science)
KNOREXSingapore, Singapore
Posted March 18, 2022
Full Time
About the Company
Founded in 2009, Knorex is a technology company that provides programmatic advertising solutions to marketers to simplify digital marketing to accelerate business growth. Knorex XPO, our flagship, helps marketers to connect in real-time with the desired audience worldwide through the industry's widest deep connectivity to leading marketing channels including social media, search, connected TVs/OTTs, video, audio, display/native, and email, all in one place. With its omni-channel marketing platform, Knorex XPO unifies advertising across multiple channels and enables marketers to deliver personalized marketing messages at the right moment to the right audience whether they are on mobile or on the Web. Through a multi-layered data-driven approach, XPO simplifies and automates digital advertising execution and optimization to deliver measurable performance powered by machine-learning/AI.
Job Description
Knorex is seeking a Technical Manager to lead and grow their data science team, focusing on building high-accuracy machine learning models and solving challenges within digital advertising and real-time bidding. The role involves technical leadership, collaboration, and evaluation of new technologies. This position requires a team-oriented individual with excellent communication and problem-solving skills.
Requirements
- Strong programming skills in at least one scripting or object-oriented language (e.g. Python, Java, ...)
- Solid understanding of machine learning and deep learning techniques
- Strong hands-on experience with Tensorflow/PyTorch and other machine learning toolkits (Scikit-learn, Spark MLlib)
- Strong leadership and mentoring skills
- Excellent written and spoken communication in English
- Good process management and follow-through
- Prioritization skills
- Good work ethic and attitude
- Good awareness of information security and confidentiality
- Experience deploying large-scale machine learning systems in the cloud environment (a plus)
Benefits
- 14 Annual leaves
- Comprehensive Health Insurance Coverage
- Macbook provided
- Personal Development Fund
- International conference opportunities
- Ample growth opportunities
- Passionate colleagues
