Bluvin Solutions - Data Scientist - Artificial Intelligence/Machine Learning

: 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.