Staff, Data Science RID-00593

About Setel:
The Future of Mobility

Introduced in July 2018, Setel is a mobile platform that aims to delight customers by innovating for better, inclusive mobility. Setel serves customers across Malaysia by powering one app as the constant companion to ease motorists' journey across fueling, parking, EV charging, motor insurance, road tax, auto assistance, general purchases, and more across an ecosystem of PETRONAS petrol stations, retail partners, and online merchants.

Role Purpose:
The Staff, Data Science architects and leads the development of enterprise-grade AI and machine learning systems aligned with the company's long-term objectives, tackling the organisation's most complex data challenges while shaping the AI and data science roadmap, establishing best practices for modelling, experimentation, and platform standards, mentoring Leads and Seniors, advising stakeholders on high-impact decisions, and ensuring all data science initiatives deliver practical value and measurable business outcomes across the company.

In this role you will:

• Lead end-to-end delivery of advanced data science, AI, and ML initiatives. This includes framing business problems, driving data exploration, developing predictive and statistical models, and ensuring solutions are production-ready and deliver measurable business impact.
• Oversee the reliability, performance, and scalability of production ML systems. Strengthen MLOps workflows covering feature pipelines, model training, deployment, monitoring, and retraining. Proactively identify system bottlenecks, enhance observability, and ensure compliance with data quality, security, and Responsible AI requirements.
• Establish and uphold documentation standards for data science workflows, experiment methodologies, modelling decisions, and operational runbooks. Ensure all documentation is consistent, comprehensive, and onboarding-ready to support knowledge continuity and organisational maturity.
• Provide architectural and modelling reviews across data science projects to enforce high engineering and analytical standards. Define best practices for model development, experimentation, feature engineering, and integration with data and ML systems. Ensure solutions are maintainable, scalable, and aligned with enterprise technical direction.
• Partner with Product, Engineering, Marketing, Finance, and Operations to align modelling priorities with business needs. Communicate insights, results, risks, and trade-offs clearly to diverse stakeholders. Influence strategic decisions and ensure data science outputs integrate effectively into operational workflows and product roadmaps.
• Coach Senior and Lead Data Scientists through technical reviews, project direction, and capability building. Foster a high-performance culture by promoting best practices, continuous learning, and strong delivery discipline within the team.
• General Responsibilities: All employees are required to ensure adherence to the compliance of company policies, industry regulations and legal requirements. All employees are expected to assist with tasks, projects, and other duties related to the role, as and when deemed necessary.

You're a great fit if you have:

• 10+ years of experience in software engineering, with a strong focus on data engineering.
• Mastery in at least one data computing language or framework (e.g. Python, Scala, SQL).
• Strong bias for action with proven ability to prioritise and manage multiple tasks effectively in a fast-paced environment.
• Experience in Agile methodologies.
• Experience in designing scalable and robust distributed data systems, ensuring high availability and reliability, and handling real-time data processing.
• Track record of leading projects from concept to deployment, ensuring high quality and timely delivery.
• Bachelor's degree in Computer Science, Information Technology, or a related field; OR
• Diploma in Computer Science, Information Technology, or a related field, with a minimum of 2 years of relevant work experience.
• Ability to handle sensitive information with confidentiality.
• Excellent communication and interpersonal skills.

What Makes Working With Us Awesome

• Our people and culture: You will get to work with awesome and friendly colleagues to whom you can expect to collaborate well to deliver your work. Empowerment is given and you will get a lot of opportunities for peer-learning.
• Availability of tools and applications: You will be provided with different tools to facilitate your work. Automate your work whenever possible so that you can focus on delivering impact for your role.
• Development focused: Your learning and growth matters most for us. We are people centric and always ready to help our people to define what they want to make an impact on and craft their learning plan accordingly.

Cool Perks/Benefits

• Hybrid working arrangement; Flexible working hours.
• Relax and unwind at the leisure area with video games, board games, books, and more.
• Wear your favourite jeans, or any cool OOTD so that you can work comfortably (in style).
• Coffee, tea, or snacks are available for consumption at the pantry. Because you'll be happier with a full tummy.
• A healthy body leads to a brilliant mind. Let's get moving with the inter-company sports team.
• There will be workshops, talent shows, sport activities, and other events for sharing and bonding.

Personal Data Protection
Setel Ventures Sdn Bhd ("Setel", "we", "our" "us") is committed to protecting and respecting your privacy. This Setel privacy statement ("Privacy Statement") explains what personal data we collect about you, when and why we collect it, how we use it, the conditions under which we may disclose it to others, your rights to your personal data, and how we keep it secure. This Privacy Statement covers both our online and offline collection activities, including personal data that we collect through online platforms such as websites, applications, third-party social networks or our online and physical events, or through other third parties that we work with. Please read this carefully to understand our views and practices regarding your personal data.