
Senior Data Science Leader
1 day ago
The role of the Senior Data Science Leader is to partner with cross-functional teams to drive business decisions through data-driven insights.
Key Responsibilities:
- Lead and manage data science projects, applying a full range of data science tools and methodologies.
- Own the portfolio of data science projects; prioritize work, triage ad-hoc requests, and conduct After Action Reviews.
- Develop analytics and insights for Quarterly Business Reviews; democratize external talent insights via dashboards and other data products.
- Drive stakeholder engagement to ensure business value of data science products; collaborate with leadership and cross-functional partners.
- Maintain awareness of external analytics capabilities and continuously improve tech stack, architecture, and libraries.
Requirements:
- Bachelor's degree in Computer Science, Statistics, or related field required; Master's or PhD preferred.
- 8+ years leading data science and analytics projects; full stack data science tools experience preferred.
- Demonstrated knowledge of data science tools; familiarity with cloud computing, visualization and automation software.
- Experience managing compute, cloud storage, and bandwidth for projects.
- Proven stakeholder management in a matrix organization; strong communication skills.
- People leadership experience; ability to lead 3+ technical team members.
- Ability to translate data and analytics into actionable business insights.
Reporting and Leadership:
- Reports to: Senior Manager, Talent Insights.
- People Leadership: Hire, retain, and engage analysts; train team in data science technologies and methodologies.
Work Details:
- Employment type: Full-time
- Seniority level: Not Applicable
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