Data Science Engineer(Jr)
Posted Updated
Summary
Junior data scientist (0–2 years experience) who collects and cleans large datasets, builds and evaluates machine learning models in Python (Pandas, NumPy, Scikit-learn), creates Power BI/Tableau dashboards, and deploys models on cloud platforms like AWS, Azure, or GCP, with exposure to GenAI, LLMs, and NLP.
Job Title: Data Scientist
- Collect, clean, and analyze large datasets to identify patterns, trends, and business insights.
- Develop machine learning models to solve business problems and improve decision-making.
- Use Python, SQL, Pandas, NumPy, and Scikit-learn for data analysis and model development.
- Apply statistical analysis, probability, and mathematical techniques to interpret data.
- Build predictive models for forecasting, customer segmentation, and risk analysis.
- Develop data visualizations and dashboards using Power BI, Tableau, or Python libraries.
- Collaborate with business teams, data engineers, and stakeholders to understand requirements.
- Evaluate model performance using appropriate metrics and optimize models for accuracy and reliability.
- Work with Generative AI, Large Language Models (LLMs), and NLP techniques where applicable.
- Deploy, monitor, and maintain machine learning models in cloud environments such as AWS, Azure, or GCP.Role & responsibilities
Preferred candidate profile