Senior Data Scientist

As a Senior Data Scientist , you will apply advanced analytical techniques and strong statistical expertise to derive actionable insights from complex and large-scale data sets, enabling informed strategic decision-making across the organization. This role demands deep proficiency in data mining, machine learning, and predictive modeling, along with the ability to clearly communicate insights to both technical and non-technical stakeholders. A strong passion for solving business problems using data and cutting-edge technologies is essential.

Key Requirements:

• Minimum 10+ years of experience in data modeling, Marketing Analytics including Segmentation, Attribution, Targeting , Churn Analysis, and Predictive Modeling , or a closely related discipline
• Hands-on experience with data mining tools such as Modeller SaaS and strong proficiency in Python
• Solid experience in data warehousing concepts, including ETL (Extract, Transform, Load) processes, and the ability to extract and integrate data from multiple sources
• Strong Business Intelligence capabilities with the ability to translate data into compelling, actionable insights
• Expertise in big data analytics , including advanced SQL skills for large-scale data transformation and analysis across multiple technologies
• Experience with data analytics platforms and tools , including cloud-based platforms such as Google Cloud Platform (GCP)
• Proficiency in data visualization tools such as Tableau or similar tools (e.g., Datorama), Google Data Studio , and Google Analytics
• Strong statistical analysis skills to support data-driven decision-making
• Practical, hands-on experience with Agentic AI and Generative AI

What Youll Do:

• Design, develop, and implement advanced statistical models and machine learning algorithms to solve complex business problems
• Analyze large and complex data sets to uncover trends, patterns, and opportunities for data-driven improvements
• Lead and manage large-scale data science projects end-to-end
• Collaborate closely with cross-functional teams to understand business goals and translate them into analytical and data-driven solutions
• Own data science initiatives from concept to deployment , ensuring high quality, accuracy, and reliability of deliverables
• Mentor and guide junior data scientists, fostering a culture of continuous learning, innovation, and technical excellence
• Present insights and recommendations to senior leadership using clear visualizations, storytelling, and business context
• Stay current with emerging trends, tools, and best practices in data science, machine learning, and advanced analytics