Data Scientist - Machine Learning - AI/GenAI

Role Overview:

We are looking for a Data Scientist to develop data-driven solutions using statistical analysis, machine learning, and advanced analytics. The role will involve working with large datasets, building predictive models, generating actionable insights, and solving complex business problems.

Key Responsibilities:

- Analyze large and complex datasets to identify trends, patterns, and actionable insights.

- Develop, train, validate, and deploy machine learning and statistical models.

- Apply supervised and unsupervised learning techniques to solve business problems.

- Perform data preprocessing, feature engineering, model selection, and optimization.

- Build predictive and classification models for business use cases.

- Use statistical methods to interpret data and support data-driven decision-making.

- Work with structured and unstructured data from multiple sources.

- Evaluate model performance and continuously improve accuracy and scalability.

- Collaborate with data engineers, ML engineers, product teams, and business stakeholders.

- Present analytical findings and model outcomes to technical and non-technical stakeholders.

- Stay updated with emerging developments in AI, ML, Generative AI, and advanced analytics.

Key Skills:

- Data Science

- Machine Learning

- Statistical Analysis

- Predictive Modeling

- Python

- Feature Engineering

- Data Analysis

- Supervised & Unsupervised Learning

- Artificial Intelligence

- Generative AI / LLM

- Model Development & Deployment