Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
About the role
- Manager on Data Science team at Anthropic leading analytical strategies for B2B growth. Collaborating across teams to drive insights and metrics for a consumption-based AI platform.
Responsibilities
- Build and scale the GTM Data Science team, partnering with RevOps and commercial leaders to solve the hardest and most important data problems to unlock Anthropic’s B2B growth
- Lead a team of data scientists to define metrics, build measurement frameworks, and translate complex analyses into clear recommendations for technical and non-technical stakeholders
- Drive rigorous causal inference and experimentation — controlled experiments, synthetic controls — to surface actionable insights that shape product strategy and roadmaps
- Build and maintain strong partnerships across product, engineering, finance, and leadership — communicating complex analyses clearly and driving alignment on priorities and recommendations
- Own the analytical foundation: statistical models, optimization frameworks, and simulation engines that automate decisions and scale with the business
Requirements
- 6+ years of experience managing data science teams, preferably in a scaling startup environment
- 15+ years of total experience in data science or similar data-focused roles
- Deep expertise with Python, SQL, and data visualization tools
- Demonstrated dexterity applying supervised and unsupervised learning techniques across a range of problem types
- Expertise with causal inference and statistical modeling, particularly in non-experimental or quasi-experimental settings
- A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models
- Expertise with marketing measurement, especially for PLG motions
- Highly effective written communication and presentation skills
- A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
- A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
- A passion for the company’s mission of building helpful, honest, and harmless AI
Benefits
- Competitive compensation
- Generous vacation and parental leave
- Flexible working hours
- Visa sponsorship
- Equity donation matching
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