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 You'll 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
