Head of Data Science

WireHire; Indonesia; On-site; IDR 1.510.320.000 - 2.013.761.000; Full time

Job summary

A leading telecommunications firm in Indonesia is seeking an experienced Head of Data Science to lead their data science function. This role involves developing a data science strategy aligned with business goals, overseeing predictive models, and collaborating with cross-functional teams to drive data-driven decision making and commercial growth. The ideal candidate will have substantial expertise in machine learning and advanced analytics, as well as experience in influencing senior stakeholders and delivering measurable business impact.

Qualifications

• 5–10 years of experience in data science, analytics, or technology roles.
• Strong expertise in machine learning and advanced analytics.
• Proven ability to influence senior stakeholders with data-driven insights.

Responsibilities

• Lead and scale the data science function and initiatives.
• Develop and execute a data science strategy aligned with business priorities.
• Build and oversee predictive models to optimize performance.

Skills

Machine learning

Predictive modeling

Data-driven decision making

Stakeholder management

Leadership

Strategic thinking

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, or related field

Job description

We are looking for a Head of Data Science to lead advanced analytics and machine learning initiatives within a large-scale telecommunication environment. This role will be responsible for turning complex data into actionable insights that drive commercial growth, operational efficiency, and data-driven decision-making across the business.

You will work closely with senior leaders, business units, and technology teams to build a strong data science capability and deliver measurable business impact through forecasting, personalization, and predictive analytics.

Key Responsibilities

• Lead and scale the data science function, including machine learning and advanced analytics initiatives.
• Develop and execute a data science strategy aligned with business priorities and the analytics roadmap.
• Build and oversee predictive models to optimize commercial and operational performance.
• Translate analytical findings into clear, actionable insights and strategic recommendations.
• Drive improvements in customer engagement, personalization, and conversion through data-driven solutions.
• Collaborate with business, IT, product, and analytics teams to embed data science into core processes and products.
• Partner with external technology vendors, AI platforms, and industry networks to adopt best practices and innovations.

What Were Looking For

• Bachelors degree in Mathematics, Statistics, Computer Science, or a related field.
• 5–10 years of experience in data science, analytics, or technology roles, preferably in large or complex organizations.
• Strong expertise in machine learning, predictive modeling, and advanced analytics.
• Proven ability to translate data into business impact and influence senior stakeholders.
• Experience working across cross-functional teams in fast-paced, data-driven environments.
• Strong leadership capability with a strategic, results-oriented mindset.

Core Capabilities

• Advanced Data Science & Machine Learning
• Strategic Thinking & Business Acumen
• Leadership and Change Management
• Strong Communication and Stakeholder Management
• Technology-savvy with a hands-on analytical approach