Description

You will design and deliver end-to-end data science solutions to solve complex business problems and drive measurable outcomes.

This role is on-site.

Responsibilities

• Perform data mining, inferential statistical analysis, and predictive analytics on structured and unstructured data.
• Identify actionable insights from multiple data sources to improve business outcomes or reduce risk.
• Build and deploy scalable technical solutions, emphasizing code reusability, consistent standards, and rigorous documentation.
• Partner with ETL developers and technology teams to validate data attributes and build end-to-end testing solutions.
• Communicate complex findings and visualizations to diverse stakeholders to influence decision-making.

Required Skills

• 5+ years of experience in data science or a related analytical role.
• Proficiency in Python and SQL.
• Experience with AWS and Snowflake.
• Strong foundation in classical statistics, probability theory, econometrics, and time-series analysis.
• Knowledge of machine learning, model development, and business information visualization.
• In-depth understanding of relational databases, ETL development, and big data concepts.
• Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.

Key Skills

Education

Any Graduate