Role Overview :

We are seeking an experienced and innovative Data Scientist Development AI to build and deploy advanced models and AI-driven solutions for real-world business problems.

You will collaborate with engineers, product managers, and stakeholders to develop scalable machine learning solutions and data pipelines that power key features in enterprise-grade applications.

This role blends hands-on development, AI/ML model building, and data strategyideal for someone who thrives in a fast-paced, high-ownership environment.

Key Responsibilities :

- Analyze large volumes of structured and unstructured data to extract meaningful insights

- Design and build scalable machine learning models (supervised and unsupervised)

- Apply deep statistical analysis to drive decision-making and customer personalization

- Collaborate with product and engineering teams to integrate models into production systems

- Develop data pipelines, automate model training, and monitor performance

- Visualize complex results using dashboards and data storytelling tools

- Work closely with stakeholders to identify key data opportunities and build prototypes

- Drive end-to-end model lifecycle management from ideation to deployment

- Stay up-to-date with latest trends in AI, ML, big data, and cloud technologies

Technical Skills & Expertise :

Core Skills :

- Strong hands-on experience with Python and/or R for statistical computing and ML

- Proficiency with SQL for querying large datasets

- Experience in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn

- Advanced knowledge in data visualization tools such as Tableau, Power BI, or Plotly