Data Scientist, GTM

Menlo Ventures; New York (NY); On-site; USD 275,000 - 370,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working hours

Generous vacation and parental leave

Job summary

Menlo Ventures is looking for a Data Scientist to enhance their Data Science & Analytics team in New York. You will drive data-informed decisions to influence the customer lifecycle.

Responsibilities include defining key metrics, analyzing data for insights, and presenting findings to stakeholders. Required qualifications include proficiency in Python and SQL, strong communication skills, and at least a Bachelor’s degree.

The annual salary ranges from $275,000 to $370,000, along with competitive benefits.

Qualifications

• Proficiency in Python, SQL, and data visualization tools.
• Ability to translate complex data into actionable insights.
• Strong written communication and presentation skills.

Responsibilities

• Define key metrics and maintain core reporting.
• Analyze data to surface actionable insights.
• Develop hypotheses using causal inference methods.
• Present analyses to technical and non-technical stakeholders.

Skills

Python

SQL

Data visualization tools

Experimental design

Causal inference

Statistical modeling

A/B testing

Written communication

Presentation skills

Education

Bachelor’s degree or equivalent

Job description

About the Role

As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI—this time by driving data‑informed decisions across the commercial customer lifecycle. Your work will sit at the intersection of fast‑moving sales operations and rigorous statistical analysis, partnering with analytics engineers, fellow data scientists, and go‑to‑market leadership to turn complex commercial data into actionable strategy.

Key Responsibilities

• Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products
• Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go‑to‑market strategy
• Develop hypotheses and apply rigorous causal inference methods—controlled experiments, synthetic controls—to make clear, actionable recommendations
• Investigate anomalies, conduct root cause analyses, and provide data‑driven guidance on priorities and decisions
• Build statistical models, optimization frameworks, and simulations to support and automate commercial decision‑making processes
• Present analyses and recommendations to both technical and non‑technical stakeholders, including GTM leadership
• Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration

Minimum Qualifications

• Proficiency in Python, SQL, and data visualization tools
• Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high‑scale technical environments
• Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences
• Strong written communication and presentation skills
• Ability to work effectively in fast‑moving, ambiguous environments—comfortable creating structure and driving progress where neither yet exists

Preferred Qualifications

• 5+ years of experience in data science or analytics roles
• Strong track record in multi‑segment, multi‑product B2B sales or commercial analytics, especially with consumption‑based revenue models
• Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
• Genuine interest in Anthropic's mission of developing safe and beneficial AI

Compensation

Annual Salary: $275,000—$370,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: Relevant to the role
• Minimum years of experience: Correlates with internal job level requirements
• Location‑based hybrid policy: Staff must be in an office at least 25% of the time
• Visa sponsorship: We sponsor visas where able and will retain an immigration lawyer to help with the process

Benefits

Competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and access to a collaborative office environment.