Data & Analytics Leader: Drive Ai-Driven Decisions Worldwide

Heineken; Tangerang; On-site; IDR 400,000,000 - 600,000,000; Full time

Job summary

Heineken in Bogor, West Java, is seeking a Senior Data Scientist to lead advanced analytics initiatives within a leading fintech environment. You will develop statistical models, analyze large datasets, and translate findings into actionable strategies for financial performance and risk management.

The role requires 5+ years of experience in data science with a financial focus, strong Python/R and SQL skills, and the ability to mentor junior colleagues while collaborating with cross-functional

Qualifications

• PhD or Master's in a quantitative field required.
• 5+ years as a Data Scientist with financial focus.
• Proficiency in Python or R and SQL; experience with Spark/Hadoop and cloud platforms.

Responsibilities

• Design, develop, and implement statistical models and machine learning algorithms to address complex business problems.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Develop predictive models for credit risk, fraud, customer behavior, and market forecasting.
• Collaborate with product managers, engineers, and stakeholders to define data requirements and project goals.
• Build and maintain data pipelines and robust analytical frameworks.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Evaluate and implement new data analysis tools and technologies.

Skills

Statistical modeling

Machine learning

Big data analytics

Analytical thinking

Communication

Mentoring

Education

PhD or Master’s in CS/Statistics/Mathematics/Economics

Tools

Python

R

Pandas/NumPy

SQL

Spark/Hadoop

AWS/Azure/GCP

Job description

About the Role Our client, a leading financial technology firm in Bogor, West Java , is looking for a talented Senior Data Scientist to spearhead advanced analytics initiatives. This role is crucial in leveraging big data to drive business insights, optimize financial models, and develop innovative data-driven products. You will work with complex datasets, employ sophisticated statistical and machine learning techniques, and translate findings into actionable recommendations for stakeholders. The ideal candidate will have a strong background in quantitative analysis, predictive modeling, and experience within the finance or banking sector. This is an exciting opportunity to shape the data strategy of a growing company in Bogor and contribute to its competitive edge.

Key Responsibilities

• Design, develop, and implement statistical models and machine learning algorithms to address complex business problems.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop predictive models for areas such as credit risk, fraud detection, customer behavior, and market forecasting.
• Collaborate with product managers, engineers, and business stakeholders to define data requirements and project goals.
• Build and maintain data pipelines and robust analytical frameworks.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Evaluate and implement new data analysis tools and technologies.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a significant focus on financial applications.
• Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Strong experience with SQL and database technologies.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey complex results effectively.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Access to cutting-edge technology and resources for data analysis.
• Opportunities for continuous learning, attending conferences, and professional development in data science .
• A collaborative and innovative work culture focused on impact within the banking sector .