Data Scientist position at Widewail focusing on building AI - driven data products. Collaborating with teams to design and deploy machine learning models and tools effectively.
About the role
- Data Science Manager leading the Data Science team in Subang Jaya to enable data and data-driven storytelling. Collaborating with cross-functional teams and overseeing advanced analytics solutions.
Responsibilities
- Lead the data science team under agile environment and drive a solution-oriented, collaborative team culture and ensuring timely, quality delivery
- Coach, mentor, and develop the team to continuously elevate technical depth and business insight
- Ensure full quality and sustainability of every data science product and solutions developed by APMEA D&A team
- Develop and evaluate predictive, prescriptive, and causal models (segmentation, churn propensity, uplift modelling, forecasting, clustering etc.)
- Perform data exploration, feature engineering, hypothesis testing to support business questions
- Ensure E2E model lifecycle execution: problem framing → data exploration → modeling → validation → deployment
- Contribute to high level engagement and collaborate with Business Analyst to perform feasibility study, delivering POC and provide consultation and recommendation to stakeholders
- Ensure models in production remain stable, monitored, and continuously improved
- Effectively manage multiple concurrent project and requirement timelines in fast paced business environment
- Provide SME-level guidance on modelling techniques and standard processes for other indirectly involved projects
- Extraction and manipulation of raw datasets from Data Warehouse (Fabric) and other sources using T-SQL and Python
- Work with Data Engineers to optimize datasets and pipelines needed for modeling
- Ensure analytical assets meet reproducibility, auditability, and integrity standards
- Drive collaborator alignment, manage expectations, and ensure analytical recommendations influence commercial and operational decision-making
- Collaborate with Solution Managers and/or business stakeholders to understand the demand
- Work with BI Developers to visualize model outcomes and analytical insights
- Collaborate with Business Analysts to translate business requirements into analytical frameworks
- Support PoCs, feasibility studies, and consultative engagements
- Develop clear modelling documentation and maintain version control of scripts
- Ensure data quality, variable definitions, and modelling logic adhere to internal standards
- Conduct validation checks on data integrity and analytical accuracy
- Support responsible AI practices including explainability and fairness
- Build data governance checkpoints and contribute in optimizing operating model
- Stay updated on new modelling techniques, analytics tools, and data science frameworks
- Suggest improvements to data flows, modelling processes, or analytical tooling
- Contribute to team learning sessions and collaborative knowledge sharing
- Define and maintain internal processes and quality standards documentation to ensure process controls and audits are up to date and aligned to BAT standards
Requirements
- Degree in Data Science, Statistics, Mathematics, Engineering, Computer Science or similar
- At least 7+ years hands-on data science or analytics experience with proven record of increase business value with deliverables
- Minimum 3+ years team management experience
- Experience of leading a Data Science team and coordinating Data Engineer work would be a strong plus
- Proven record on performing complex data manipulation using SQL/Python
- Proven record of hands-on analysis/model changed a business decision or created measurable value
- Experienced in model deployment
- Have built and deployed at least 2+ ML/statistical models that were used in production or decision-making
- Experience working in Azure environments, or similar cloud platforms
- Experience with MLOps components such as CI/CD pipelines, model monitoring, and automated retraining is preferred
- Strong capability in scoping, effort estimation, sprint planning, and prioritizing Data Science backlog
- Ability to convert complex analytical findings into simple, compelling storylines tailored for business stakeholders and senior leaders
- Experience in FMCG, retail, consumer insights, supply chain, marketing analytics, or commercial performance analytics is an advantage
Benefits
- market leading annual performance bonus (subject to eligibility)
- diverse health plans
- initiatives for work-life balance
- transportation support
- flexible holiday plan with additional incentives
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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