Data Scientist - Machine Learning

Job Summary :

We are looking for a Data Scientist with 2- 3 years of experience who can analyze large datasets, build predictive models, and generate meaningful insights to support business decisions. The candidate should have hands-on experience in Python, Machine Learning, statistics, data visualization, and working with structured and unstructured data.

Key Responsibilities :

- Analyze structured and unstructured data to extract insights.

- Build and implement Machine Learning models.

- Perform data cleaning, preprocessing, and feature engineering.

- Apply statistical techniques to solve business problems.

- Develop predictive models and forecasting solutions.

- Work with Python libraries for data analysis and modeling.

- Create dashboards and reports using visualization tools.

- Collaborate with Data Engineers, Analysts, and Business teams.

- Evaluate model performance and improve accuracy.

- Work with large datasets using SQL and Python.

- Communicate insights using reports and visual storytelling.

- Ensure data quality and data validation.

Required Technical Skills :

Programming Languages :

Data Analysis Libraries :

- Pandas

Machine Learning :

- Supervised Learning (Regression, Classification)

- Unsupervised Learning (Clustering)

- Model Evaluation Techniques

- Feature Engineering

- Model Optimization

- Scikit-learn

- TensorFlow / PyTorch (basic knowledge)

Statistics & Mathematics :

- Probability

- Hypothesis Testing

- Regression

- Statistical Analysis.

Data Visualization Tools :

- Power BI

- Tableau

- Matplotlib

- Seaborn

Database Knowledge :

- SQL

- MySQL / PostgreSQL

Cloud Platforms (Basic Knowledge) :

- AWS (S3, SageMaker)

- Azure ML

- GCP BigQuery

Data Handling :

- Data Cleaning

- Data Preprocessing

- Handling Missing Values

- Working with CSV, Excel, JSON datasets