We are looking for an experiences Data Science & Center Department Head to manage the immediate & midterm growth Strategy for Big Data in the Company through creative approaches and the implementation of powerful resources such as operational and analytical databases, BI Tools, and Data Science Technology.
In this role you will be working primarily as a business partner who build relationships with stakeholders to develop a strong data-driven decisions.
You will be responsible in managing Data Scientist and AI Engineer including developing and nurturing to keep up with the latest knowledge and trends to maximize their capability growth.
• Develop and design structured data framework which is scalable as basis for reporting/monitoring and to provide insight for decision making.
• Collaboratively work with stakeholders to define problem and to provide actionable insight based on data-driven approached
• Designing, developing, and deploying AI-based systems to provide solutions regarding any changes in the company’s market, along with a potential solution to maximize adaptiness.
• Analyzing the machine learning algorithms that could be used to solve a given problem and ranking them based on their cost & benefit.
• Work together as part of risk management team to all division to develop data-minded culture by setting up basis for tracking, monitoring, insight and good communication channel to help the team scalling the business.
• Develop data scientist and AI engineer team capabilities to be able to provide independent insight of business performance to the whole team
• Bachelor Degree in Statistics/Mathematics/Data Science/Computer Science or a related field
• Solid knowledge in root-cause analysis, statistical, time-series, or predictive modelling skills
• Proven working experience in Data Science and its Implementation
• Experience in developing ML/AI solutions at scale, building Algorithms from scratch and take them to production in a scalable way
• Experience in managing multiple projects with competing priorities
• Exposure to lead end-to-end deployment of advanced analytics pipeline, collaborating with data engineer team.
• Experience in using various database platform such as MySQL, PostgreSQL, Hive, Bigquery, ets.
• Strong experience in Python, R, Spark, etc. and Big Data Platforms (Hadoop).
• Experienced in using data visualization tools such as Tableau, Power BI, Alteryx.
• Demonstrated ability to solve complex business problem and apply machine learning to optimize critical business metrics.