Data Scientist

We are looking for an experienced Data Scientist (4–6 years) who can apply advanced analytics and machine learning techniques to solve high-impact business problems. The ideal candidate will have a strong mix of statistical expertise, programming skills, and real-world deployment experience, enabling them to deliver models that drive measurable outcomes.

Key Responsibilities

• Model Development: Design, build, and optimize predictive models and machine learning algorithms for real-world business challenges.

• Statistical Analysis: Conduct advanced statistical modeling, hypothesis testing, and experimentation (A/B testing) to validate solutions.

• Data Handling: Work with structured and unstructured datasets (text, images, logs, transactional data) for exploratory and production use cases.

• Deployment & Monitoring: Deploy ML models into production pipelines, ensuring scalability, monitoring, and continuous performance improvement.

• Collaboration: Partner with Data Engineers, Product Managers, and Business Stakeholders to translate business needs into technical solutions.

• Research & Innovation: Stay current with the latest developments in machine learning, deep learning, and NLP, applying innovative techniques where appropriate.

• Visualization & Storytelling: Communicate findings through clear visualizations, dashboards, and data storytelling to technical and non-technical stakeholders.