Data Scientist

Solve complex business problems by applying data science methodologies and generating actionable insights.

Research, design, implement, and validate statistical and predictive models and algorithms across diverse data sources.

Partner with domain experts and stakeholders to validate model assumptions and communicate analytical results clearly to technical and non-technical audiences.

Work Experience Required: Not explicitly mentioned in the JD

Proficiency in SQL and programming with statistical/data science tools; experience managing large and complex datasets.

Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, IT, or equivalent relevant experience.

Knowledge of statistical modeling techniques (regression, classification, time-series, anomaly detection) and familiarity with cloud environments such as Microsoft Azure and/or AWS.

Experienced with developing, validating, and deploying machine learning and predictive analytics models for business applications.

Able to analyze complex business and data requirements and deliver robust, quality-controlled analytical solutions aligned with operational needs.

Comfortable working cross-functionally with stakeholders and communicating technical concepts effectively to diverse audiences.