Data Scientist

Indosat; Indonesia; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

A leading telecommunications company in Indonesia seeks a Data Scientist for managerial-level work in data analysis and machine learning. The role involves creating data mining architectures and applying advanced data science principles to enhance various business aspects such as market economics and supply chain management. Ideal candidates will possess strong collaboration skills and a profound understanding of business intelligence practices. This permanent position offers the chance to influence strategic decisions through data-driven insights.

Qualifications

• Experience in data mining architectures/models/protocols.
• Ability to apply ML and AI techniques to business problems.
• Strong analytical skills in various business areas.

Responsibilities

• Conduct data analysis to identify trends.
• Implement ML techniques to derive business insights.
• Collaborate across departments to improve business outcomes.

Skills

Data analysis methodologies

Machine Learning (ML)

Statistical reporting

Business Intelligence

Cloud Platforms

Job description

Data Scientist

Location: ID

Level: Managerial

Employment Status: Permanent

Department: Group Product & Offering Strategy

Job Summary

• Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets
• Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.)
• Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
• Applying and/or implementing Machine Learning (ML) or other Artificial Intelligence (AI) techniques to solve business problems and/or derive actionable business insights
• At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analytics

Job Responsibilities

Leadership Competencies

• Collaborating
• Continuous Improvement
• Business Awareness
• Planning and OrganizingQuality Orientation
• Analysis
• Applied Learning
• Building Customer Loyalty

Technical Competencies

• Business Analysis and Decision Support
• Consulting, Transformation and Enablement
• Database Administration and Performance
• Machine Learning Engineering and MLOps
• Cloud Platforms and Infrastructure-as-Code
• Business Intelligence and Data Products
• Performance Monitoring and Site Reliability
• Data Governance, Quality and Stewardship
• Advanced Analytics and Data Science
• Research, Innovation and Emerging Tech
• Testing, QA and Data Validation
• Security, Privacy and Compliance (Data)
• Data Engineering and Integration Pipelines

Behavioral Expectations

Personality Traits

Internal Stakeholders

External Stakeholders