Data Science Manager
$125k - $160kBlend360
Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit
Job Description Key Responsibilities
Job Description Key Responsibilities
- Lead client-facing incrementality testing and experimentation initiatives across paid and owned marketing channels
- Serve as a strategic partner to marketing, measurement, and analytics stakeholders on testing design, interpretation, and decision-making
- Lead development of and drive adoption of Claude Code and AI-enabled workflows to improve testing efficiency, scalability, and delivery quality
- Manage multiple concurrent testing workstreams in a fast-paced embedded client environment
- Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights
- Provide leadership and mentorship to junior team members while helping drive rigor and operational excellence across the testing program
- 5+ years of experience in marketing experimentation, incrementality testing, or related analytics roles
- Expertise in statistical methods and experimental design (A/B testing, statistical significance, power analysis, etc.)
- Demonstrated ability to communicate complex statistical concepts to non-technical stakeholders
- Strong project management skills with ability to manage multiple workstreams simultaneously
- Experience building and leading analytics teams or mentoring junior analysts
- Proficiency with Python, R, or SQL for data analysis and automation
- Experience with AI/ML tools and prompt engineering for workflow automation
- Familiarity with marketing measurement platforms and analytics tools
- Experience working in embedded client or consulting environments
- Statistical Rigor: Commitment to methodological excellence and avoiding bias in experimental design
- Stakeholder Management: Ability to navigate complex organizational dynamics and drive alignment
- Innovation & Automation: Openness to leveraging AI and new technologies to improve team efficiency
- Leadership: Demonstrated ability to influence without authority and develop team talent
- Adaptability: Thrives in fast-paced, ambiguous environments with changing priorities
Vacancy posted 5 days ago
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