Job Title: Data Analyst / Data Scientist
Location: Bali, Indonesia (Remote work possible)
Company: Bali.Love – part of Intanah Group
About Us:
Bali.Love is a leader in Bali’s luxury wedding planning industry, providing high-end experiences and services. We’re looking for a Data Analyst/Data Scientist to join our growing team and drive data-driven decision-making across the company. If you’re passionate about using data to solve complex business problems, we want to hear from you!
Key Responsibilities:
- Collaborate with stakeholders to understand business challenges and develop data-driven solutions.
- Build, deploy, and refine machine learning models for tasks such as predictive analysis, classification, and clustering.
- Conduct exploratory data analysis and feature engineering to uncover meaningful insights from large datasets.
- Apply advanced statistical methods and machine learning algorithms to create effective data models.
- Create compelling data visualizations, reports, dashboards, and presentations to communicate insights and recommendations.
- Stay current with the latest data science technologies, trends, and best practices.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, or a related field.
- Proficiency in Python and R for data analysis and machine learning tasks.
- Strong knowledge of machine learning algorithms (e.g., regression, clustering, decision trees, deep learning).
- Experience using data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Understanding of A/B testing, hypothesis testing, and other statistical analysis methods.
- Experience in deploying and maintaining machine learning models.
Bonus Skills:
- Experience working with big data platforms (e.g., Hadoop, Spark) or cloud platforms (e.g., AWS, Google Cloud).
- Experience with SQL for database management and querying.
- Familiarity with data engineering tools and techniques.
Benefits
- Competitive salary and career growth opportunities.
- Flexible working hours with the option to work remotely.
- Be part of a collaborative and forward-thinking team.
- Opportunity to influence business decisions through data-driven insights in a rapidly growing industry.
