Data Scientist Mid (AI COE) 7-Eleven
Interview Process:
- 1st round virtual (30 minutes)
- 2nd round onsite (1 hour)
- Potential 3rd round onsite for technical eval/critical thinking (Im trying to merge this into round 2)
About the Role
scaling its customer personalization and marketing efforts through data-driven insights. This role sits on the AI Center of Excellence and collaborates with Marketing and App/Delivery teams to drive personalized campaigns and product recommendations.
Focus Areas:
- Customer Segmentation: Build evaluate and deploy models to identify and target customer segments for personalized experiences.
- Online Controlled Experiments (A/B Testing): Design run and analyze A/B tests and other online experiments to measure impact of campaigns features and product changes.
- Collaboration: Work closely with marketing product and ML teams.
Why this role exists:
- 7-Eleven is expanding its member rewards push notifications emails paid media campaigns and other personalization efforts.
- The team needs hands-on data scientists who can gather analyze and operationalize customer data across systems.
Key Responsibilities
- Research prototype and develop AI/ML solutions for customer segmentation and personalized systems.
- Design and analyze A/B tests and other controlled experiments.
- Build deploy and analyze AI solutions; perform statistical experiments to validate impact.
- Collaborate across marketing product and engineering teams to implement personalization strategies.
- Communicate data-driven insights to non-technical stakeholders.
- Maintain high standards of research innovation and engineering quality.
Top 5 Skills
- Customer Segmentation & Personalization (Marketing/CRM Experience)
- A/B Testing / Online Controlled Experiments
- SQL PySpark (Data Wrangling & Analysis)
- Statistical Data Science / ML Modeling / Azure Databricks Environment
- Cross-Functional Collaboration & Communication
Data Scientist Mid (AI COE) 7-Eleven Interview Process: 1st round virtual (30 minutes) 2nd round onsite (1 hour) Potential 3rd round onsite for technical eval/critical thinking (Im trying to merge this into round 2) About the Role scaling its customer personalization and marketing effo...
Data Scientist Mid (AI COE) 7-Eleven
Interview Process:
- 1st round virtual (30 minutes)
- 2nd round onsite (1 hour)
- Potential 3rd round onsite for technical eval/critical thinking (Im trying to merge this into round 2)
About the Role
scaling its customer personalization and marketing efforts through data-driven insights. This role sits on the AI Center of Excellence and collaborates with Marketing and App/Delivery teams to drive personalized campaigns and product recommendations.
Focus Areas:
- Customer Segmentation: Build evaluate and deploy models to identify and target customer segments for personalized experiences.
- Online Controlled Experiments (A/B Testing): Design run and analyze A/B tests and other online experiments to measure impact of campaigns features and product changes.
- Collaboration: Work closely with marketing product and ML teams.
Why this role exists:
- 7-Eleven is expanding its member rewards push notifications emails paid media campaigns and other personalization efforts.
- The team needs hands-on data scientists who can gather analyze and operationalize customer data across systems.
Key Responsibilities
- Research prototype and develop AI/ML solutions for customer segmentation and personalized systems.
- Design and analyze A/B tests and other controlled experiments.
- Build deploy and analyze AI solutions; perform statistical experiments to validate impact.
- Collaborate across marketing product and engineering teams to implement personalization strategies.
- Communicate data-driven insights to non-technical stakeholders.
- Maintain high standards of research innovation and engineering quality.
Top 5 Skills
- Customer Segmentation & Personalization (Marketing/CRM Experience)
- A/B Testing / Online Controlled Experiments
- SQL PySpark (Data Wrangling & Analysis)
- Statistical Data Science / ML Modeling / Azure Databricks Environment
- Cross-Functional Collaboration & Communication
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