Data Scientist

Role Overview: You will be responsible for analyzing user behavior, content consumption, and conversion funnels to identify growth opportunities. Additionally, you will partner with product, marketing, and growth teams to translate data insights into product features and campaign strategies. You will also develop and maintain dashboards, metrics, and data pipelines for key business KPIs and work with engineering teams to productionize models and ensure scalability and performance. Key Responsibilities: - Analyze user behavior, content consumption, and conversion funnels to identify growth opportunities. - Partner with product, marketing, and growth teams to translate data insights into product features and campaign strategies. - Develop and maintain dashboards, metrics, and data pipelines for key business KPIs. - Work with engineering teams to productionize models and ensure scalability and performance. Qualifications Required: - 26 years of experience in Data Science, Machine Learning, or Advanced Analytics (preferably in B2C, media, or digital domains). - Strong knowledge of Python, SQL, and libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. - Experience with data visualization tools (Power BI, Tableau, or Looker). - Proficiency in statistical modeling, A/B testing, and hypothesis validation. - Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools is a plus. - Strong business understanding with the ability to communicate complex insights clearly to non-technical teams. Role Overview: You will be responsible for analyzing user behavior, content consumption, and conversion funnels to identify growth opportunities. Additionally, you will partner with product, marketing, and growth teams to translate data insights into product features and campaign strategies. You will also develop and maintain dashboards, metrics, and data pipelines for key business KPIs and work with engineering teams to productionize models and ensure scalability and performance. Key Responsibilities: - Analyze user behavior, content consumption, and conversion funnels to identify growth opportunities. - Partner with product, marketing, and growth teams to translate data insights into product features and campaign strategies. - Develop and maintain dashboards, metrics, and data pipelines for key business KPIs. - Work with engineering teams to productionize models and ensure scalability and performance. Qualifications Required: - 26 years of experience in Data Science, Machine Learning, or Advanced Analytics (preferably in B2C, media, or digital domains). - Strong knowledge of Python, SQL, and libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. - Experience with data visualization tools (Power BI, Tableau, or Looker). - Proficiency in statistical modeling, A/B testing, and hypothesis validation. - Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools is a plus. - Strong business understanding with the ability to communicate complex insights clearly to non-technical teams.