Data Scientist

FUJIFILM BI SSC; Selangor; On-site; MYR 120,000 - 180,000; Full time

Job summary

FUJIFILM BI SSC in Malaysia seeks an experienced Data Scientist to transform complex datasets into actionable insights. You will drive exploratory analysis, build predictive and prescriptive models, and work with AI/ML engineers to deploy solutions.

The role requires running analytics frameworks for operational and strategic decisions, delivering executive dashboards, and ensuring data governance and quality across initiatives. Strong communication with stakeholders is essential.

Qualifications

• Proven ability to deliver business insights through data analysis and predictive modeling.
• Experience engaging with business stakeholders to translate problems into analytical questions.
• Strong foundation in statistics and experimental design.
• Knowledge of data visualization and storytelling to communicate findings.

Responsibilities

• 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.
• 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.
• Collaborate with AI/ML Engineers to operationalize models into production solutions.
• Prepare executive-level insights, dashboards, and presentations.

Skills

Python

SQL

Machine learning

Statistics

Forecasting

Data visualization

Power BI

Snowflake

Data modelling

Education

Bachelor’s degree in Data Science or related

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

• 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.

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.

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.

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 initiatives.

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.

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.

Job Qualifications

• 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
• 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

*only shortlisted candidates will be contacted*