Jr. Data Scientist

ilmuOne Data; Jakarta Pusat; On-site; IDR 89,280,000 - 178,560,000; Full time

Job summary

ilmuOne Data in Jakarta, Indonesia seeks a junior data scientist to assist in methodology research, data processing, and documenting explorations. You will contribute to open-ended questions and help frame industry challenges through data-driven approaches.

The role involves statistical analyses, building predictive models, identifying patterns, and communicating findings with visuals. Fresh graduates are welcome; familiarity with Python, SQL, and cloud tools is a plus.

Qualifications

• 1–2 years of professional experience in Data Science; fresh grads welcome.
• Proficient in Python and SQL to extract insights from large datasets.
• Strong math/stats and basic ML concepts with real-world awareness.
• Experience with structured/unstructured data and data visualization tools.

Responsibilities

• Assist in methodology research and data processing for self-guided exploration.
• Conduct statistical analyses to develop business strategies.
• Build predictive models and ML algorithms.
• Identify data patterns and trends to inform decisions.
• Present insights using data visualizations and maintain documentation.

Skills

Python

SQL

Data Visualization

Machine Learning

Statistics

Data Cleaning

Tools

Google Cloud Platform

Google Data Studio

Job description

• Assist in methodology research, data processing, and documentation to conduct independent self-guided exploration of research and frame open-ended industry questions, including, but not limited to:
• Conducts statistical analyses to develop strategies,
• Builds predictive models and machine-learning algorithms,
• Identifies data patterns and trends,
• Proposes solutions and strategies to business challenges,
• Presents information using data visualization techniques, and
• Documents all processes and research.
• Discover new opportunities to optimize the business through machine learning and/or statistical modelling.
• Assist the design and development of analytical projects designed to understand key business behaviors that drive customer acquisition, retention, and engagement through machine learning and/or statistical modelling.
• Develop and maintain client analytics reports.
• Assist the data science team with project management, including marketing, non-marketing, and custom solution projects.

Work Responsibilities

• Assist in methodology research, data processing, and documentation to conduct independent self-guided exploration of research and frame open-ended industry questions, including, but not limited to:
• Conducts statistical analyses to develop strategies,
• Builds predictive models and machine-learning algorithms,
• Identifies data patterns and trends,
• Proposes solutions and strategies to business challenges,
• Presents information using data visualization techniques, and
• Documents all processes and research.
• Discover new opportunities to optimize the business through machine learning and/or statistical modelling.
• Assist the design and development of analytical projects designed to understand key business behaviors that drive customer acquisition, retention, and engagement through machine learning and/or statistical modelling.
• Develop and maintain client analytics reports.
• Assist the data science team with project management, including marketing, non-marketing, and custom solution projects.

Leadership Responsibilities

• Commits to personal learning and growth.
• A drive to learn and master new technologies and techniques.

Qualifications And Requirements

(Tangibles).

• 1-2 years of professional experiences in Data Science fields. Fresh graduate are welcome to apply.
• Mandatory: Experienced using programming languages (at least Python and SQL) to manipulate data and draw insights from large data sets.
• Intermediate Mathematical, Statistical, and/or Machine Learning skills required, and their real-world advantages/drawbacks.
• Knowledge and/or experience in working with structured and/or unstructured data sets.
• Knowledge and/or experience in Data Architecture and Engineering is a plus, especially Google Cloud Platform.
• Familiar with Data Visualization Tools, Google Data Studio is a plus.

Character

• Problem-solving skills, structured thinking and scientific approach required.
• Ability to work with minimal supervision and keep supervisors informed.
• Ability to work well in a team environment.
• Ability to communicate in clear and concise terms.
• Willing to learn new skills and able to do so independently.
• Ability to take initiative.