Senior Data Science & AI Strategy Lead

Blue Bird; Indonesia; On-site; IDR 400,000,000 - 700,000,000; Full time

Job summary

Blue Bird is seeking a Lead for Data Science to drive end-to-end machine learning workflows aligned with business goals. You will oversee data analysis outcomes, guide new ML techniques, and coordinate analytics systems to identify improvements and risks.

You will also evaluate product performance and promote AI adoption to empower informed decisions. The role requires leadership, strong stakeholder management, and a passion for solving complex problems.

Qualifications

• Bachelor's or Master's degree in Data Science, IT Engineering, or related field.
• 10+ years of relevant experience in data-related roles.
• Strong expertise in data science, data engineering, and data analytics.
• Solid knowledge of machine learning, predictive modeling, and statistical analysis.

Responsibilities

• Lead the development of end-to-end machine learning workflows to meet business needs.
• Ensure alignment between analysis outcomes, solutions, and business objectives.
• Guide selection and implementation of new ML techniques for data-driven problem solving.
• Coordinate analytics systems and predictive models to identify issues and opportunities for improvement.
• Evaluate performance of data-driven products as part of business solution development.
• Drive adoption of AI technologies to support informed decision-making.
• Ensure environmental impact, risk assessments, and operational risk controls are defined and implemented.

Skills

Data Science

Data Engineering

Data Analytics

SQL

Python

R

ML frameworks

Big data & visualization tools

Leadership

Stakeholder management

Problem solving

Education

Bachelor's or Master's in Data Science/IT Engineering

Tools

Scikit-learn

TensorFlow

BigQuery

Tableau

Job description

Blue Bird is seeking a Lead for Data Science to drive end-to-end machine learning workflows aligned with business goals. You will oversee data analysis outcomes, guide new ML techniques, and coordinate analytics systems to identify improvements and risks.

You will also evaluate product performance and promote AI adoption to empower informed decisions. The role requires leadership, strong stakeholder management, and a passion for solving complex problems.