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Data Scientist

Asia Pacific Resources International Limited (APRIL)
Asia Pacific Resources International Limited (APRIL) (Riau, Indonesia)
Riau, อินโดนีเซีย 🇮🇩
Asia Pacific Resources International Limited (APRIL)
Asia Pacific Resources International Limited (APRIL) Group is one of the largest, most technologically advanced and efficient makers of pulp and paper products in the world. We make products that are used by millions of people every day in liquid packaging, printing and writing paper, tissues, shopping bags, food packaging, magazines and books. Our products, including our flagship PaperOneTM office paper, are proudly marketed and sold in more than 70 countries around the world. Our business is built on a Sustainable Forest Management Policy. Our operations include a state-of-the-art pulp and paper mill and plantation forests in Riau Province, Sumatra, Indonesia. APRIL employs around 9,000 people directly and provides indirect employment to 90,000. Today, the residential townsite houses up to 7,000 employees and their families.

เกี่ยวกับตำแหน่งนี้

We are seeking a highly motivated and driven individual to join our team as a Junior Data Scientist. In this role, you will work alongside experienced experts in the field of data science and contribute to various projects and initiatives. As a Junior Data Scientist, you will be responsible for assisting in data analysis, modeling, and developing algorithms to solve complex problems.

หน้าที่รับผิดชอบ

• Conduct data analysis, interpretation, and modeling to extract meaningful insights and trends.
• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
• Independently research, explore, and implement innovative approaches to solve challenging problems.
• Work with large datasets, apply statistical techniques, and develop predictive models.
• Continuously learn and stay updated with the latest advancements in data science and machine learning.

คุณสมบัติ

• Curiosity, conscientiousness, and meticulous attention to detail.
• Possess grit and determination to tackle complex problems and find effective solutions.
• Willingness to learn and adapt to new technologies and methodologies.
• Comfortable with ambiguity and able to independently navigate and find solutions.
• Strong passion for numerical algorithms and a solid foundation in the theory of numbers.
• Proficient in mathematical formulas and not afraid to apply them in practical situations.
• Excellent problem-solving skills and ability to think critically.
• Strong written and verbal communication skills.
• Bachelor's or Master's degree in a relevant field (e.g., computer science, mathematics, statistics, or a related quantitative discipline).
• Solid understanding of programming languages (e.g., Python, R, or Java) and experience with data manipulation and analysis libraries (e.g., pandas, NumPy).
• Familiarity with machine learning techniques and frameworks is a plus (e.g., scikit-learn, TensorFlow, or PyTorch).
• Knowledge of statistical analysis and experimental design.
• Prior experience with cloud computing platforms and open-source tools is added advantage (e.g., AWS, Google Cloud Platform, or Apache Spark).
• Demonstrated ability to work effectively in a team environment and collaborate with diverse stakeholders.