Junior Data Scientist: Build ML Models & Insights

IlmuOne Data

Jakarta Pusat

On-site

IDR 120,000,000 - 240,000,000

Full time

3 days ago
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Job summary

IlmuOne Data is seeking a data science professional to contribute to methodology research, data processing and the development of predictive models. You will analyze large datasets, identify trends, and present insights through visualizations while maintaining thorough documentation.

The role emphasizes learning, collaboration, and applying ML/statistical techniques to improve client analytics and business outcomes.

Qualifications

  • 1-2 years of professional experience in data science.
  • Proficient in Python and SQL for large datasets.
  • Strong mathematical, statistical and/or ML skills.
  • Experience with structured and unstructured datasets.
  • Knowledge of data architecture/engineering is a plus, especially GCP.
  • Familiar with Google Data Studio.

Responsibilities

  • Assist in methodology research, data processing and documentation.
  • Conduct statistical analyses to develop strategies.
  • Build predictive models and ML algorithms.
  • Identify data patterns and trends.
  • Propose data-driven solutions to business challenges.
  • Present information using data visualization techniques.
  • Document all processes and research.
  • Discover opportunities to optimize the business via ML/statistical modelling.
  • Develop and maintain client analytics reports.
  • Assist the data science team with project management.

Skills

Python
SQL
Statistics
Machine Learning
Data Visualization
Google Cloud Platform
Data Architecture
Structured Data
Unstructured Data

Tools

Google Data Studio

Job description

IlmuOne Data is seeking a data science professional to contribute to methodology research, data processing and the development of predictive models. You will analyze large datasets, identify trends, and present insights through visualizations while maintaining thorough documentation.

The role emphasizes learning, collaboration, and applying ML/statistical techniques to improve client analytics and business outcomes.

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