
Senior Data Scientist
7 days ago
The role of Data Science Campaign Manager is a pivotal position within the marketing department. This individual will be responsible for spearheading data science-driven marketing initiatives, leveraging advanced analytics and machine learning techniques to optimize customer engagement and drive business growth.
This includes developing and executing campaign strategies that align with overall marketing objectives, collaborating with data science teams to identify key metrics and analytical models that enhance campaign performance, designing, implementing, and managing the end-to-end campaign process, from planning and setup through execution and post-campaign analysis, utilizing advanced analytics tools to monitor campaign performance, providing actionable insights and recommendations for continuous improvement, working closely with cross-functional teams to foster a data-centric culture, staying current with industry trends in data-driven marketing and analytics, applying best practices to enhance campaign effectiveness, and ensuring projects are delivered on schedule and within allocated resources.
Requirements:
- Bachelor's degree in Data Science, Marketing, Statistics, or a related field; a Master's degree is preferred.
- 5+ years of experience in campaign management or marketing analytics, with a strong focus on data-driven strategies.
- Proven track record of successfully managing and executing complex marketing campaigns.
- Strong analytical skills, with expertise in data visualization tools (e.g., Tableau, Power BI) and statistical analysis.
- Proficiency in marketing automation platforms and CRM systems.
- Excellent communication and interpersonal skills to effectively collaborate with diverse teams.
- Ability to thrive in a fast-paced environment and manage multiple priorities effectively.
- Creative problem-solver with a strategic mindset and results-oriented approach.
Benefits:
- Unlock community knowledge in a new way.
- Experts add insights directly into each article, started with the help of AI.
Industry Trends:
- Foster a data-centric culture.
- Stay current with industry trends in data-driven marketing and analytics.
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