Responsibilities

• Lead the development of consumer relevance data models that enhance user experience and engagement across the platform.
• Collaborate with cross-functional teams to identify and analyze key metrics that drive business decisions.
• Utilize advanced statistical techniques and machine learning algorithms to derive insights from large datasets.
• Present findings and recommendations to stakeholders in a clear and impactful manner.
• Mentor junior data scientists and contribute to the continuous improvement of data practices within the organization.
• Stay updated on industry trends and emerging technologies to leverage new techniques and methodologies in data science.

Requirements

• Master’s degree or PhD in Data Science, Computer Science, Statistics, or a related field.
• 5+ years of experience in data science, with a strong emphasis on consumer behavior analysis.
• Proficiency in programming languages such as Python, R, or SQL.
• Extensive experience with data visualization tools like Tableau or Power BI.
• Strong analytical and problem-solving skills, with the ability to interpret complex data.
• Excellent communication skills, capable of conveying technical concepts to non-technical stakeholders.
• Experience in mentoring and leading teams is a plus.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours and remote work opportunities.
• Generous paid time off and holiday leave.
• Professional development opportunities and support for further education.
• A vibrant company culture that values collaboration and innovation.