全职 Data Scientist 工作, 薪水, Lintas Fortuna Nusantara, PT. 公司招聘中 - Ricebowl

The Data Scientist is responsible for transforming complex data into actionable insights that drive business strategy, innovation, and decision-making. This role focuses on advanced analytics, statistical modeling, machine learning, and data-driven problem-solving to uncover opportunities and optimize business performance.

You will collect, clean, and analyze large volumes of structured and unstructured data from multiple sources. The role involves identifying trends, patterns, and relationships within datasets to support strategic initiatives and operational improvements.

A key responsibility is developing predictive models, machine learning algorithms, and analytical solutions that help organizations forecast outcomes, improve efficiency, and enhance customer experiences. You will validate models, evaluate performance, and continuously refine analytical approaches.

This position also involves designing dashboards, reports, and visualizations that communicate insights clearly to technical and non-technical stakeholders. You will collaborate with business teams, engineers, product managers, and executives to solve complex business challenges using data.

In addition, the Data Scientist contributes to innovation by researching new analytical techniques, exploring emerging technologies, and helping establish best practices for data science and advanced analytics within the organization.

• Strong understanding of statistics, mathematics, and data science principles
• Proficiency in Python, R, SQL, or similar analytical programming languages
• Knowledge of machine learning, predictive modeling, and statistical analysis
• Experience working with large datasets and data processing techniques
• Familiarity with data visualization tools and dashboard development
• Strong analytical and problem-solving abilities
• Understanding of databases, data warehousing, and data structures
• Ability to communicate complex findings to non-technical audiences
• Strong attention to detail and data accuracy
• Experience with experimentation, model evaluation, and validation techniques
• Ability to work collaboratively with cross-functional teams
• Curiosity, innovation, and a passion for data-driven decision-making
• Interest in AI, advanced analytics, and emerging technologies