Data Scientist

Bluebirdgroup; Daerah Khusus Ibukota Jakarta; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

A leading data-driven company is looking for a data scientist to develop and evaluate forecasting models using statistical and machine learning techniques. The ideal candidate will have a Bachelor's degree in a related field, proficiency in SQL and Python, and experience with ETL pipelines and model deployment. This role involves close collaboration with operations teams and a focus on ensuring data integrity and quality in production environments.

Qualifications

• Bachelors degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
• Strong knowledge of supervised and unsupervised ML algorithms and statistical concepts.
• Proficiency in SQL and Python for data wrangling and preprocessing.
• Hands-on experience with forecasting models and time-series analysis.
• Familiarity with ETL pipelines, model deployment, and MLOps practices.
• Experience with cloud environments and data visualization tools.

Responsibilities

• Develop and evaluate forecasting models using statistical and machine learning techniques.
• Contribute to model generation and optimization using ML algorithms.
• Perform data exploration and analysis for feature engineering.
• Collaborate with operations teams to translate findings into actionable strategies.
• Design and maintain ETL pipelines for data processing.
• Deploy machine learning models into production environments.
• Ensure data integrity and quality throughout the pipeline.

Skills

Machine Learning

Statistical Analysis

SQL

Python

Data Wrangling

Time-Series Analysis

Data Visualization

ETL

Cloud Environments

Collaboration

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, or Data Science

Master's degree (preferred)

Tools

ARIMA

XGBoost

CatBoost

Prophet

LSTM

Docker

APIs

AWS

GCP

Job description

• Bachelors degree in Computer Science, Statistics, Mathematics, Data Science, or related field (Masters degree is a plus).
• Strong knowledge of supervised and unsupervised ML algorithms and statistical concepts.
• Proficiency in SQL and Python for data wrangling and preprocessing.
• Hands‑on experience with forecasting models and time‑series analysis (ARIMA, XGBoost, CatBoost, Prophet, LSTM).
• Familiarity with ETL pipelines, model deployment (Docker, APIs), and MLOps practices.
• Experience with cloud environments (AWS, GCP) and data visualization tools.
• Excellent analytical, problem‑solving, and communication skills; ability to work collaboratively in a team environment.

Key Responsibilities

• Develop and evaluate forecasting models using statistical and machine learning techniques.
• Contribute to model generation and optimization using ML algorithms.
• Perform data exploration and analysis (EDA) for feature engineering.
• Collaborate with operations teams to translate findings into actionable strategies.
• Design and maintain ETL pipelines for data processing.
• Deploy machine learning models into production environments and ensure ongoing maintenance using MLOps practices.
• Work with cloud platforms (AWS, GCP) for scalable model deployment.
• Ensure data integrity and quality throughout the pipeline.