Junior Data Scientist: Forecasting & ML Pipelines

BI3 Technologies; Singapore; On-site; SGD 12,000 - 20,000; Full time

Benefits offered by this job

Medical Insurance

Family Insurance

Performance reviews

Leave encashment

Competitive salary

Job summary

BI3 Technologies is hiring a Data Scientist to design and maintain ML models and forecasting solutions in Chennai. You will handle data cleaning, feature engineering, and pipeline optimization using Python and SQL.

Responsibilities include data analysis, dashboards, and collaboration with cross-functional teams. Prior experience with Azure Cloud/Azure ML and Snowflake is preferred, along with Git and ML deployment concepts.

Qualifications

• 1-3 years of experience in Data Science, ML, or Analytics.
• Proficient in Python and SQL with strong ML knowledge.
• Experience with data preprocessing, feature engineering, and model development.

Responsibilities

• Develop and maintain machine learning models and forecasting solutions.
• Perform data cleaning, preprocessing, and feature engineering.
• Build and optimize data pipelines using Python and SQL.
• Analyze large datasets to identify trends and business insights.
• Support model deployment, testing, and performance monitoring.
• Create dashboards, reports, and data visualizations.
• Assist in developing automated prediction and retraining workflows.
• Collaborate with cross-functional teams on analytics projects.
• Document model development activities and technical processes.
• Stay updated with emerging trends in Data Science and AI.

Skills

Python

SQL

Machine Learning

Forecasting

Regression

Classification

Clustering

Azure Cloud

Azure ML

Snowflake

Git

Education

Bachelor's or Master's in CS/DS/Statistics/Math/Engineering

Tools

Power BI

Tableau

Job description

BI3 Technologies is hiring a Data Scientist to design and maintain ML models and forecasting solutions in Chennai. You will handle data cleaning, feature engineering, and pipeline optimization using Python and SQL.

Responsibilities include data analysis, dashboards, and collaboration with cross-functional teams. Prior experience with Azure Cloud/Azure ML and Snowflake is preferred, along with Git and ML deployment concepts.