Data Scientist, Marketing (San Francisco) Job at Anthropic, San Francisco, CA

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  • Anthropic
  • San Francisco, CA

Job Description

Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Job Description

As an early member of our Data Science team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving marketing effectiveness through data-driven insights and analytics. Your work will be critical to informing our marketing strategy and optimizing our go-to-market approach as we deploy safe, frontier AI at scale to the world.

You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation.

Responsibilities

  • Deep dive into marketing performance data to provide insights to marketing leaders and influence the company's marketing strategy.
  • Define core marketing metrics that measure the team's success. Set goals, monitor performance, and develop actionable reporting for campaigns and channels.
  • Identify and size opportunities to improve marketing effectiveness, influencing marketing roadmap through your insights and recommendations on audience targeting, channel optimization, and messaging effectiveness.
  • Develop hypotheses on marketing initiatives, design experiments or causal inference studies, analyze the results, and make recommendations based on impact to key metrics.
  • Build a data-driven marketing culture from the ground up by establishing foundational marketing analytics best practices and making marketing data more accessible across the company.

Qualifications

  • 6+ years of experience in data science or analytics roles, preferably in a marketing or customer acquisition context.
  • 3+ years of experience deeply embedded in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes.
  • Experienced in measuring different types of marketing activities, have a holistic view of how different programs are supporting each other (e.g., brand & growth, consumer & enterprise).
  • Solid technical skills in experimentation and causal inference to measure the incrementality of the spend.
  • Experience in building user segmentation to inform marketing strategies.
  • A passion for the company's mission of building helpful, honest, and harmless AI.
  • Expertise in Python, SQL, and marketing analytics platforms and visualization tools.
  • Familiarity with both B2C and B2B/Enterprise marketing analytics.
  • Bias for action and urgency, not letting perfection be the enemy of effectiveness.
  • Strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
  • Deep curiosity and energy for pulling the thread on hard questions about customer behavior and marketing performance.
  • Highly effective written communication and presentation skills, with ability to translate complex analyses into actionable marketing insights.

Compensation

Expected base compensation: $275,000 - $370,000 USD. Total compensation package includes equity, benefits, and may include incentive compensation.

Logistics

  • Education: At least a Bachelor's degree in a related field or equivalent experience.
  • Location-based hybrid policy: All staff are expected to be in one of our offices at least 25% of the time.
  • Visa sponsorship: We sponsor visas when we make an offer. We retain an immigration lawyer to help with this.
  • We encourage you to apply even if you do not believe you meet every single qualification.

Equal Employment Opportunity

We do not discriminate on the basis of any protected group status under any applicable law. Our Equal Employment Opportunity policy applies to all employment decisions.

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Job Tags

Full time,

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