
Lead Data Scientist – Global Reporting & Analysis
- Kuala Lumpur
- Tetap
- Sepenuh masa
- Lead Data Science in FP&A: Oversee strategy reviews, best practice adoption, and identify gaps in current ML processes.
- Advanced Modeling: Design, develop, and deploy predictive models and AI solutions to address business needs.
- Team Leadership: Lead multiple Data Scientists and mentor team members on best practices.
- AI Strategy: Drive strategy for AI applications and advanced analytics solutions.
- Performance Evaluation: Evaluate and optimize data-driven products.
- Project Management: Drive large cross-functional projects from ideation to implementation.
- Collaboration: Work with engineers and other data scientists to integrate models into production systems.
- Solution Design: Design and deploy data-driven solutions to improve business outcomes.
- Continuous Learning: Stay current with advancements in data science and apply them to enhance capabilities.
- Service Coordination: Coordinate with service providers and external resources for ML/AI solutions.
- Community Leadership: Lead involvement in the Data Science Community of Practice.
- Alignment: Ensure data projects align with organizational objectives.
- Data Collection: Collect, cleanse, and ensure the quality and integrity of complex data sources for analytical modeling.
- Bachelor’s degree in a data science related field.
- Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field is preferred.
- Minimum 5-7 years of experience in data science.
- Experience developing machine learning models into full production.
- Strong expertise in ETL processes, data integration, and transformation.
- Proficiency in programming and statistical tools such as Python, R, SQL, SPSS, IBM CPLEX
- Experience with cloud platforms and big data technologies - Databricks, Azure, Spark, SAP (R4) and/or SAP (4HANA), IBM Planning Analytics
- Strong experience with data visualization tools (e.g., Tableau, Power BI).
- Experience working with business teams and within general business processes
- Experience in Manufacturing Industry
- Understanding of common business financial terms and metrics
- Experience with agile methodologies and project management tools.
- Familiarity with data governance and compliance standards.
- Excellent problem-solving skills and the ability to work with complex datasets.
- Strong communication skills, including the ability to present findings to non-technical stakeholders, facilitate discussions, deliver training, and manage time effectively.
- High initiative and creativity, with the ability to work independently and think strategically and technically.
- Leadership and mentoring experience, with a demonstrated ability to guide and develop junior team members and develop collaborative teamwork
- Detail-oriented with a commitment to delivering high-quality solutions.
- Strong understanding of data science concepts.