Description

• Design, build, validate, and deploy predictive models to solve complex business problems and improve customer and product outcomes. Perform Advanced Analytics & Experimentation • Conduct hypothesis testing, A/B experiments, regression analysis, ANOVA, and other statistical methods to generate actionable insights. Build & Manage Large-Scale Data Pipelines • Create and maintain scalable datasets and automated data pipelines across cloud and distributed data platforms. Drive Business Insights Through Data Visualization • Develop dashboards and visual reports to measure product performance, customer behavior, and business KPIs. Collaborate with Cross-Functional Teams • Partner with business, product, engineering, and analytics teams to identify opportunities, define metrics, and deliver data-driven recommendations. Required Skills Data Science & Machine Learning • Python • Machine Learning • Statistical Modeling • Feature Engineering • Model Validation Advanced Analytics • Statistics • Experimental Design • Hypothesis Testing • Regression Analysis • Data Interpretation • ANOVA Data Engineering • SQL • Python • BigQuery • Hive • Data Engineering • ETL Development Data Visualization • Tableau • Power BI • Looker • Data Visualization • KPI Measurement Business & Collaboration • Stakeholder Management • Business Analytics • Problem Solving • Communication • Cross-Functional Collaboration

Key Skills

Education

Bachelor's degree