Job requirements Experience Range: 5 - 8 years of experience, including at least 5 years of hands-on work in data science, analytics, or related fields, with recent exposure to agentic AI solutions Key Responsibilities:
- Translate complex business challenges into structured data science problems, ensuring alignment with organizational objectives and measurable outcomes
- Develop, monitor, and validate OKRs using advanced statistical techniques to deliver actionable insights and track progress
- Execute advanced data wrangling, cleansing, and transformation on large, complex datasets to enable robust modeling and analysis
- Deliver impactful data-driven insights through clear data storytelling, utilizing visualization tools to communicate findings effectively to stakeholders
- Apply design thinking methodologies to create innovative analytical solutions and continuously optimize data science workflows and processes
- Lead technical decision-making for modeling iterations, optimizing model performance, and balancing computational efficiency with business requirements
- Collaborate with cross-functional teams, including engineering and product, to implement scalable data science solutions that drive business value
- Promote data literacy and foster a culture of data-driven decision-making by sharing best practices and industry trends across the organization