Description :

We are looking for an experienced Data Scientist / Modeler to design and implement advanced statistical models, machine learning solutions, and computer vision applications that drive business insights and strategic decision-making.

This role involves working closely with business stakeholders to solve real-world problems using data, design experiments, and deploy predictive models.

Key Responsibilities :

Statistical Analysis & Model Development :

- Explore and analyze large datasets to identify trends and patterns

- Build predictive models using regression, classification, and time-series techniques

- Design and execute business experiments and hypothesis testing

- Develop and evaluate machine learning and deep learning models

- Build and deploy computer vision models (image classification, object detection, segmentation)

- Perform model validation, tuning, and performance optimization

Stakeholder Collaboration :

- Work closely with business and analytics teams to define problems and solutions

- Communicate insights and recommendations to stakeholders

- Support model deployment and implementation

Research & Innovation :

- Stay updated on industry trends and emerging technologies

- Introduce innovative analytics approaches and methodologies

Required Skills :

Technical Skills :

- Experience with computer vision techniques

- Strong programming skills in Python

- Experience with SQL and relational databases

- Hands-on experience with ML libraries :

1. Scikit-learn

2. XGBoost

3. TensorFlow or PyTorch

- Experience with data libraries :

1. Pandas

2. NumPy

3. Matplotlib / Seaborn / Plotly

Strong knowledge of :

- Regression and classification models

- Time-series forecasting

- Feature engineering and model tuning

- Cross-validation and regularization

Statistical Skills :

- Hypothesis testing, ANOVA, regression analysis

- Forecasting and multivariate analysis

- Experimental design and impact measurement