Data Scientist - Statistical Analyst

We are seeking an experienced Data Scientist with 6 to 10 years of professional experience to join our growing analytics and data science team.

The ideal candidate will possess strong expertise in statistical analysis, machine learning, predictive modeling, and data-driven decision-making.

This role requires working closely with business stakeholders, product teams, and engineering teams to develop advanced analytical solutions, derive actionable insights, and drive strategic initiatives across the organization.

Key Responsibilities :

• Develop, implement, and optimize machine learning models and statistical techniques to solve complex business problems.

• Analyze large and complex datasets to identify trends, patterns, and opportunities for process improvement and business growth.

• Design and execute experiments, hypothesis testing, and predictive analytics initiatives to support business decisions.

• Build recommendation systems, forecasting models, segmentation frameworks, and anomaly detection solutions.

• Collaborate with data engineers and technology teams to ensure efficient data collection, preparation, validation, and transformation processes.

• Translate business requirements into analytical frameworks and scalable data science solutions.

• Develop dashboards, reports, and visualizations to communicate insights effectively to technical and non-technical stakeholders.

• Monitor model performance, conduct periodic retraining, and ensure continuous improvement of deployed solutions.

• Work with structured, semi-structured, and unstructured datasets from multiple sources.

• Research and evaluate emerging data science methodologies, tools, and industry best practices.

• Partner with cross-functional teams including product management, operations, finance, marketing, and leadership teams to support strategic initiatives.

• Ensure adherence to data governance, privacy regulations, and organizational security standards.

Required Skills and Qualifications :

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative discipline.

• 6 to 10 years of experience in Data Science, Machine Learning, Advanced Analytics, or related domains.

• Strong understanding of statistical modeling, probability theory, regression techniques, clustering, classification algorithms, and optimization methods.

• Hands-on experience with machine learning frameworks and analytical tools.

• Experience working with SQL and large-scale databases for data extraction and analysis.