Senior Data Scientist

Day One Partners; United States; On-site; USD 110,000 - 190,000; Full time

Job summary

Day One Partners is seeking a data science/product analytics leader to define success metrics across user-facing surfaces and collaborate with engineering to build scalable data assets.

You will translate product requirements into actionable analytics, influence roadmaps, and foster a high-fidelity experimentation culture using modern AI tools to accelerate decision-making.

Qualifications

• 5+ years of data science and product analytics experience.
• Degree in statistics, operations research, CS, engineering, applied math, physics or economics.
• Experience delivering data products with data and product engineering teams.
• Strong SQL and Python skills for data-driven decisions.
• Strong statistics background: hypothesis testing, CIs, power analysis, causal inference.
• Familiar with modern analytics and experimentation tools.
• Familiar with consumer-focused analytics.
• Strong communication of statistics to non-experts.
• Practical AI fluency for analytics and decision support.
• Bonus: familiarity with optimization of performance marketing.

Responsibilities

• Own the definition and evolution of success metrics for user-facing surfaces.
• Define and maintain business metrics, semantic layers, and data models.
• Collaborate with Data Engineering to translate requirements into scalable data assets.
• Influence product direction via insights and roadmap prioritization.
• Build a culture of high-fidelity experimentation to scale wins.
• Use visualisations to convey nuance clearly.
• Apply AI tools to automate analysis and accelerate experimentation.

Skills

5+ years of data science and product

SQL

Python

Statistics

Causal inference

Experimentation tools

AI fluency

Communication

Optimization of marketing

Education

BS/MS in quantitative discipline

Tools

SQL

Python

Job description

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Responsibilities

• Own the definition and evolution of success metrics for all user facing surfaces, including tradeoffs between short-term and long-term member value.
• Define and maintain business metrics, semantic layers, and data models to ensure consistency and trust across the team.
• Own, in partnership with Data Engineering, the translation of product requirements into scalable, reliable data assets that empower efficient decision-making
• Influence product direction by uncovering and translating insights into clear recommendations that shape roadmap prioritization.
• Build out a culture of high fidelity experimentation to scale wins quickly
• Using visualisations to convey nuance with clarity
• AI-native mindset and hands-on experience using LLMs, agents, and modern AI tools to automate analysis, accelerate experimentation, and build scalable decision-support workflows

Qualifications

• 5+ years of data science and product analytics experience
• BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc.
• Familiarity in delivering data products through partnership with Data and product engineering teams.
• Strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions.
• Strong applied statistics background, including hypothesis testing, confidence intervals, power analysis, and causal inference techniques.
• Familiarity with modern analytics and experimentation tools
• Familiarity with consumer focused .
• Strong in proactive verbal and written communication, ability to convey rigorous statistical concepts to non-experts.
• Practical AI fluency and curiosity about how modern AI tools can improve analytical workflows, strategic synthesis, and decision support.
• Bonus points for familiarity with optimization of performance marketing efforts