We are looking for an experienced Data Scientist with strong expertise in statistical modelling, machine learning, advanced SQL, and Python. The ideal candidate should be comfortable working with large, multi-source datasets and using AWS data and ML services to develop analytical solutions that support business decision-making.

Key Responsibilities :

- Develop and deploy statistical and machine learning models to solve complex business problems.

- Perform hypothesis testing, regression, time-series analysis, Bayesian modelling, and other advanced statistical analyses.

- Analyse large and complex datasets from multiple sources to identify trends, patterns, and actionable insights.

- Write and optimize complex SQL queries for data extraction, transformation, analysis, and validation.

- Develop data science solutions using Python and relevant statistical and ML libraries.

- Build, evaluate, validate, and monitor machine learning and statistical models.

- Create analytical dashboards and visualizations using Tableau and other BI tools.

- Work with AWS data and ML services to develop scalable analytics and machine learning solutions.

- Collaborate with business, data engineering, and technology teams to translate business requirements into data-driven solutions.

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

- Ensure data quality, model accuracy, reproducibility, and documentation of analytical solutions.

Required Skills :

- 8 to 10 years of experience in Data Science, Machine Learning, Advanced Analytics, or a related role.

- Strong foundation in statistics, including hypothesis testing, regression, time-series analysis, and Bayesian methods.

- Advanced SQL skills with experience working across large, multi-source datasets.

- Strong hands-on experience with Python.

- Proficiency with scikit-learn, statsmodels, pandas, NumPy, or equivalent ML/statistical libraries.

- Experience with Tableau or similar data visualization platforms.

- Hands-on experience with AWS data and ML services such as SageMaker, Redshift, Athena, Glue, QuickSight, or equivalent.

- Strong understanding of machine learning model development, evaluation, and validation.

- Excellent analytical, problem-solving, and communication skills.