- 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.