Unlock Customer Insights with Data-Driven Strategies
The ideal candidate will design, implement, and optimize customer segmentation models using clustering algorithms like k-means, DBSCAN, and hierarchical clustering. Working closely with cross-functional teams, including marketing, product, and engineering, this role entails building buying group frameworks that enhance personalization and campaign performance.
Key responsibilities include integrating advanced models into Customer Data Platforms such as Segment, Adobe Experience Platform, or Salesforce CDP. Additionally, the successful candidate will apply analytics and machine learning to solve complex problems related to customer behavior, churn prediction, lookalike modeling, and RFM analysis.
To excel in this position, the ideal candidate should hold a Bachelor's Degree in Computer Science, Engineering, or a related field and possess +5 years of experience working as a data scientist. Expertise in AI, Machine Learning, LLMs, and Agentic AI is essential for success in this role.
* Design and develop effective customer segmentation strategies using clustering algorithms.
* Collaborate with cross-functional teams to build personalized buying group frameworks.
* Integrate advanced models into Customer Data Platforms to drive business growth.
* Apply analytics and machine learning to solve complex customer-related problems.
Required Skills and Qualifications:
The successful candidate will have a strong background in computer science and experience working as a data scientist. Key qualifications include:
* Bachelor's Degree in Computer Science, Engineering, or a related field.
* +5 years of experience working as a data scientist.
* Expertise in AI, Machine Learning, LLMs, and Agentic AI.
* Strong analytical and problem-solving skills.
What We Offer:
We offer a competitive salary and benefits package to attract top talent in the field. As a valued member of our team, you can expect:
* A comprehensive compensation package.
* Opportunities for professional growth and development.
* A collaborative and dynamic work environment.
Apply Now:
If you are a motivated and experienced data scientist looking for a new challenge, please submit your application. We look forward to hearing from you!