About the Role
Lead a team of data scientists in developing scalable models and analytical frameworks that enhance marketing effectiveness, customer acquisition, and retention strategies using large-scale data.
Responsibilities
- Guide the development of predictive models to optimize marketing spend
- Collaborate with marketing teams to define KPIs and measurement frameworks
- Design experiments to assess campaign impact and customer response
- Translate business problems into data science solutions
- Manage end-to-end delivery of data science projects
- Ensure data quality and integrity across marketing analytics platforms
- Mentor team members in statistical modeling and machine learning techniques
- Develop segmentation strategies to improve targeting precision
- Monitor model performance and recommend updates
- Present insights to stakeholders using clear visualizations and narratives
- Integrate data from multiple sources for comprehensive analysis
- Drive automation of reporting and insight generation
- Promote best practices in data ethics and privacy
- Evaluate new tools and technologies for analytical improvements
- Align data science initiatives with business objectives
- Support A/B testing design and interpretation
- Improve customer lifetime value estimation models
- Identify opportunities for personalization at scale
- Work closely with engineering teams on data pipelines
- Ensure reproducibility and documentation of analytical workflows
- Assess ROI of marketing channels using attribution modeling
- Lead brainstorming sessions for data-driven marketing ideas
- Maintain awareness of industry trends in marketing analytics
- Foster a culture of experimentation and learning
- Coordinate with product teams to leverage behavioral data
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model
Team
Cross-functional team focused on data-driven marketing solutions
Why This Role Matters
This position plays a critical role in shaping how marketing investments are evaluated and optimized. The insights generated directly influence budget allocation, campaign strategy, and long-term customer engagement planning.
What to Expect
You will work at the intersection of data, marketing, and technology. Expect regular collaboration with marketing strategists, data engineers, and product managers. Success requires balancing technical rigor with business acumen.
Available for qualified candidates
