Data Scientist
PT Merdeka Copper Gold
- Industry Type
- IT
- Functional Area
- IT Information Technology Industry IT Information Technology
- Nationality
- Any
- Keywords
- CrossFunctional Collaboration
Job Description
PT Merdeka Copper Gold in Jakarta, Indonesia is looking for a Data Scientist who is passionate about data, analytics, and AI technologies. The role involves working with different teams to solve business challenges using data-driven solutions.
- Position
- Data Scientist
- Company
- PT Merdeka Copper Gold
- Location
- Jakarta, Indonesia
- Industry
- IT
- Experience
- 1 to 20 years
Responsibilities
- Collaborate with cross-functional teams to understand business challenges.
- Implement data-driven solutions.
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About the role: Data Scientist
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Data Scientists analyze and interpret complex data to help organizations make informed decisions. They typically work in consulting firms, advisory services, and various industries that require data-driven insights.
What this role usually involves
- Collect and clean large datasets from multiple sources
- Develop statistical models and machine learning algorithms
- Interpret data trends and provide actionable recommendations
- Collaborate with clients and teams to understand business needs
- Present findings through reports and visualizations
- Continuously update knowledge of data science tools and techniques
Skills employers usually look for
- Strong analytical and problem-solving abilities
- Proficiency in programming languages like Python or R
- Experience with data visualization tools
- Knowledge of machine learning and statistical methods
- Good communication and presentation skills
- Ability to work collaboratively in teams
Usual qualifications
- A degree in computer science, statistics, mathematics, or related field
- Training or certification in data science or analytics
- Familiarity with database management and data processing
- Continuous learning in emerging data technologies
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