全职 Data Scientist 工作, 薪水, FUJIFILM BI SSC Selangor 公司招聘中 - Ricebowl

The role works closely with business stakeholders and engineering teams to frame business problems, validate hypotheses, build analytical models, and translate findings into decisions, products, services, or operational improvements.

Drive business value through advanced analytics, machine learning, statistical modelling, experimentation, and AI-driven insights. The Data Scientist transforms enterprise data into actionable recommendations, develops predictive models, identifies business opportunities, and supports data-driven decision-making across FUJIFILM Asia Pacific.

Responsibilities & Tasks:

1.Data Exploration and Analysis

• Perform exploratory data analysis on enterprise datasets to identify trends, patterns, anomalies, and opportunities.
• Develop analytical frameworks to support operational, commercial, and strategic decision-making.
• Translate business problems into analytical questions, hypotheses, and measurable outcomes.

2.Predictive and Prescriptive Analytics

• Develop predictive, classification, forecasting, segmentation, recommendation, and optimization models.
• Build statistical models to support business planning, resource allocation, and performance improvement.
• Conduct scenario modelling, sensitivity analysis, and what-if analysis to guide management decisions.
• Evaluate model effectiveness, explain results, and assess business impact.

3.AI and Machine Learning

• Collaborate with AI/ML Engineers to operationalize models into reliable production solutions.
• Support experimentation with Generative AI, Agentic AI, and advanced analytics use cases.

4.Business Intelligence and Executive Insights

• Prepare executive-level insights, recommendations, dashboards, and presentations.
• Develop reports and visualizations that clearly communicate business performance and analytical findings.
• Support KPI definition, measurement frameworks, and value realization tracking for AI and analytics initiative.

5.Data Governance and Quality

• Promote high-quality, trusted, and responsible data usage across analytics and AI activities.
• Support the establishment of data standards, data definitions, and governance practices.
• Monitor data quality and ensure analytical outputs are based on fit-for-purpose data.
• Ensure compliance with privacy, regulatory, and information security requirements.

6. Research and Innovation

• Evaluate emerging analytics and AI technologies, modelling techniques, and business applications.
• Identify new opportunities to create competitive advantage using data, analytics, and AI.

Requirements:

• Minimum 6 years of experience in Data Science, Advanced Analytics, Business Analytics, Statistics, or related disciplines.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline.
• Experience delivering business insights through data analysis, developing predictive and machine learning models, and engaging directly with business stakeholders.

Technical Skills

• Python
• R desirable
• SQL
• Machine learning
• Statistics and experimental design
• Forecasting techniques.
• Data visualization and storytelling
• Power BI or equivalent BI tools
• Snowflake or modern cloud data platforms
• Data modelling and feature engineering