Leveraging advanced analytics, statistical modeling, and machine learning to shape product strategies, optimize customer journeys, and drive measurable business outcomes.
Requirements
- Proven ability to extract insights from complex datasets and communicate compelling data-driven stories to influence decision-making
- Strong SQL skills for data extraction and manipulation
- Expertise with data visualization tools (e.g., Tableau, Qlik, Power BI).
- Advanced proficiency in A/B testing, Python or R for analytics, modeling, and automation
- Familiarity with big data and cloud tools (e.g., Snowflake, Spark, Databricks) is a plus
- Experience with machine learning and AI techniques, and statistical modeling is strongly preferred
- Strong problem-solving skills and end-to-end quantitative thinking
Responsibilities
- Lead deep exploration of customer data and spearhead customer segmentation, LTV modeling, and other advanced analytics solutions
- Develop experimentation plans and testing frameworks to measure, optimize, and scale data-driven strategies across targeting, personalization, and product initiatives
- Apply machine learning, predictive analytics, and AI-based methods to deliver innovation and improve decision-making across the business
- Optimize and manage data pipelines, ensuring high-quality, scalable, and efficient reporting and analytics capabilities
- Partner with product, finance, and business development leaders to define strategies, investment priorities, and data-driven opportunities
- Mentor and coach data scientists and analysts, elevating craft skills, encouraging innovation, and fostering a culture of learning and excellence
Other
- 5-7 years of experience in data science, analytics, or a related field
- Ability to manage multiple projects simultaneously in a fast-paced environment
- Demonstrated leadership through mentorship, stakeholder influence, and cross-functional collaboration
- Growth-oriented and proactive mindset, with a passion for innovation and customer impact.
- Drive strategic thinking and cross-functional alignment around data-driven approaches to improve product and customer experience strategies
