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- Annual Bonus
- Weekends Off
- Transport Allowance
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.
General Technician5-10 years
General Technician5-10 years
General Technician5-10 years
General Technician5-10 years
General Technician5-10 years
General Technician5-10 years