DescriptionWere driven by curiosity passion optimism and the belief that everybody can grow.
As the Data Scientist Lead within our data science team you are responsible for overseeing data science initiatives coordinating cross-functional teams and defining technical requirements to support business data needs. This role combines advanced analytics expertise with project management and stakeholder engagement to deliver actionable insights and scalable data solutions.
Job Responsibilities:
- Partner with Product Owners Data Scientists Analysts and Tech Leads to identify and secure data required for personalization product capabilities and advanced analytics outcomes including customer insights and enhanced offer engagement.
- Drive increased business value by collaborating with cross-functional teams to support data-driven personalization initiatives.
- Manage the personalization data roadmap overseeing backlog requirements and prioritization to ensure effective delivery of strategic objectives.
- Lead discovery efforts for new initiatives determining and refining business and customer value propositions.
- Work closely with technology partners to evaluate technical feasibility and data availability for new projects.
- Refine and prioritize user stories to align with consumer experience requirements and business goals.
- Lead sprint planning execution and other scrum cadences for technology development teams focused on delivering consumer experience enhancements.
Required qualifications capabilities and skills:
- Bachelors and Masters degree in a quantitative discipline (Data Science/Analytics Mathematics Statistics Physics Engineering Economics Finance or related fields)
- 5 years of experience in applying statistical methods to real world problems
- 5 years of experience with SQL and at least one of the following analytical tools: SAS Python R
- Experience with visualization techniques for data analysis and presentation
- Experience with web analytics tools (Google Analytics Adobe/Omniture Insight/Visual Sciences Webtrends CoreMetrics etc.)
- Superior written oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
Preferred qualifications capabilities and skills:
- Marketing and or Sales analytics experience preferred.
- Knowledge of data governance and compliance standards.
- Project management certification (PMP Agile etc.) is a plus.
Required Experience:
Exec
DescriptionWere driven by curiosity passion optimism and the belief that everybody can grow.As the Data Scientist Lead within our data science team you are responsible for overseeing data science initiatives coordinating cross-functional teams and defining technical requirements to support business ...
DescriptionWere driven by curiosity passion optimism and the belief that everybody can grow.
As the Data Scientist Lead within our data science team you are responsible for overseeing data science initiatives coordinating cross-functional teams and defining technical requirements to support business data needs. This role combines advanced analytics expertise with project management and stakeholder engagement to deliver actionable insights and scalable data solutions.
Job Responsibilities:
- Partner with Product Owners Data Scientists Analysts and Tech Leads to identify and secure data required for personalization product capabilities and advanced analytics outcomes including customer insights and enhanced offer engagement.
- Drive increased business value by collaborating with cross-functional teams to support data-driven personalization initiatives.
- Manage the personalization data roadmap overseeing backlog requirements and prioritization to ensure effective delivery of strategic objectives.
- Lead discovery efforts for new initiatives determining and refining business and customer value propositions.
- Work closely with technology partners to evaluate technical feasibility and data availability for new projects.
- Refine and prioritize user stories to align with consumer experience requirements and business goals.
- Lead sprint planning execution and other scrum cadences for technology development teams focused on delivering consumer experience enhancements.
Required qualifications capabilities and skills:
- Bachelors and Masters degree in a quantitative discipline (Data Science/Analytics Mathematics Statistics Physics Engineering Economics Finance or related fields)
- 5 years of experience in applying statistical methods to real world problems
- 5 years of experience with SQL and at least one of the following analytical tools: SAS Python R
- Experience with visualization techniques for data analysis and presentation
- Experience with web analytics tools (Google Analytics Adobe/Omniture Insight/Visual Sciences Webtrends CoreMetrics etc.)
- Superior written oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
Preferred qualifications capabilities and skills:
- Marketing and or Sales analytics experience preferred.
- Knowledge of data governance and compliance standards.
- Project management certification (PMP Agile etc.) is a plus.
Required Experience:
Exec
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