Junior Data Scientist
Posted Updated
Summary
Junior Data Scientist in Chennai who builds and maintains machine learning and forecasting models, performs data cleaning and feature engineering, and develops data pipelines in Python and SQL. Works with Azure ML, Snowflake, and BI dashboards, supporting model deployment, monitoring, and automated retraining workflows.
Key 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.
Requirements
Requirements
- 1-3 years of experience in Data Science, Machine Learning, or Analytics.
- Strong proficiency in Python and SQL.
- Good understanding of Machine Learning, Forecasting, Regression, Classification, and Clustering.
- Experience with data analysis, feature engineering, and model development.
- Exposure to Azure Cloud, Azure ML, Snowflake, or similar platforms.
- Familiarity with Git, version control, and ML deployment concepts.
- Strong analytical, problem-solving, and communication skills.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
Preferred Skills
- Azure Machine Learning.
- Power BI or Tableau.
- Time Series Forecasting.
- MLOps fundamentals.
- Internship/project experience in AI/ML.
- Experience working with cloud-based data platforms.
Benefits
Benefits & Perks
Financial Benefits
- Provident Fund (PF)
- Competitive Salary Package
- Annual Performance Reviews
- Leave Encashment Benefits
Health & Insurance
- Medical Insurance Coverage
- Insurance for Employee & Family Dependents
Work-Life Balance
- 5-Days Working Week
- Hybrid Working Model
- Paid Annual Leave
- Sick Leave & Casual Leave
- Company Holidays
Family Benefits
- Maternity Leave
- Paternity Leave
Learning & Career Growth
- Mentorship from Senior Data Scientists
- Exposure to Global Projects
- Continuous Learning Opportunities
- Career Growth Path in Data & AI
Culture & Engagement
- Friendly & Inclusive Work Environment
- Collaborative Team Culture
- Employee Engagement Programs
- Team Outings & Celebrations
- Recognition & Rewards