At NADI Tech Sdn Bhd, we're in search of a passionate and talented Data Scientist to join our innovative team. As a Data Scientist, you'll play a pivotal role in leveraging data-driven insights to drive our company's growth and performance. Your work will directly impact our digital products and services, enhancing our ability to provide cutting-edge solutions. You will work on a wide array of challenging problems, spanning growth optimization, marketing effectiveness, product enhancement, financial services, and more.
JOB RESPONSIBILITIES
1. Design, develop, and deploy data solutions that address complex business challenges, leveraging predictive modelling, machine learning, and advanced statistical analysis.
2. Take high-level business objectives and translate them into well-structured, data-driven projects, with a focus on driving insights and actionable recommendations.
3. Collaborate with cross-functional teams including marketing, product, finance, and commercial teams to deliver insights that drive business decisions and improve processes.
4. Work with large, complex datasets to discover insights, trends, and patterns, uncovering opportunities for optimization and growth.
5. Effectively communicate complex analytical results and insights to both technical and non-technical stakeholders, making data-driven recommendations accessible and actionable.
6. Collaborate with cross functional divisions in building complex end-to-end products that are customer facing and internal facing.
Requirements
Requirements:
A degree in Math, Statistics, Economics, Computer Science, Engineering or similar domains.
At least 1-2 years of professional experience.
The determination to initiate and drive projects or experiments to completion.
The ability to take vague problems and solve them in a structured, data-driven manner.
Great communication and presentation skills in English.
Expertise in SQL and programming languages like Python, R.
Ability to work in a dynamic and fast-paced environment, adapting to evolving business needs.
Passion for driving innovation, staying up to date with industry trends, and continuously improving data science capabilities.