Staff Data Scientist - Content Growth & Creator Strategy

nextdoor; Deutschland; Hybrid; EUR 164.000 - 244.000; Vollzeit

Benefits dieser Stelle

Base salary range transparency

Equity grant

Health plans option

Hybrid work model

Zusammenfassung

nextdoor is seeking a Staff-level Data Scientist to own end‑to‑end analytics for new content surfaces, shaping data architecture and causal inference methods across the portfolio. You will lead cross‑functional collaboration with product, engineering, and research to drive evidence-based decisions.

The role combines hands-on analytics with technical leadership, working on experiments, metric development, and scalable data products. Hybrid work and equity accompany a highly impactful strategy.

Qualifikationen

• Staff-level or tech lead experience as a Data Scientist, ideally in social media or consumer technology.
• Master’s or Ph.D. in Statistics.
• Expertise in non-randomized A/B testing, network testing, and advanced causal inference methods.
• Experience owning end-to-end product analytics, from opportunity identification and strategy through launch and measurement.
• Strong cross-functional collaboration skills with Product, Engineering, and adjacent partners, plus the ability to operate as an autonomous technical leader.
• Proficiency in SQL and Python, including numpy, pandas, and scikit-learn.
• Excellent communication skills, with the ability to explain complex analyses to executives.

Aufgaben

• Lead end‑to‑end data science ownership for new content surfaces, including evaluating feature performance, identifying growth opportunities, and connecting insights across surfaces for portfolio‑level impact
• Design and measure experiments, including non‑standard A/B tests and network experiments with bias controls, to inform feature and investment decisions
• Generate strategic insights through exploratory data analysis to shape future investments or pivots in strategy
• Build and evolve the data architecture and quality requirements for content data assets spanning supply, creators, viewers, entities, content types, and surfaces, partnering with Analytics Engineering on source‑of‑truth tables
• Develop scalable metrics, dashboards, and artifacts that enable reliable, agentic analytics and faster team decision‑making
• Restore and apply rigorous methodology around quasi‑experiments and advanced causal inference to distinguish true product impact from confounding factors

Kenntnisse

SQL

Python

Statistical modeling

Causal inference

Experimentation design

Data storytelling

Cross-functional collaboration

Ausbildung

Master's or Ph.D. in Statistics

Tools

numpy

pandas

scikit-learn

Jobbeschreibung

Role overview

Staff-level Data Scientist role focused on accelerating execution for priority content investments and raising the quality of product decision-making. The position owns end-to-end analytics for emerging content surfaces such as Video, Groups, and Events—areas with limited historical data—while shaping data architecture and statistical methodology across the broader content portfolio. It is a hands‑on technical leadership role embedded within a product organization, partnering closely with product, engineering, design, and research stakeholders.

Responsibilities

• Lead end‑to‑end data science ownership for new content surfaces, including evaluating feature performance, identifying growth opportunities, and connecting insights across surfaces for portfolio‑level impact
• Design and measure experiments, including non‑standard A/B tests and network experiments with bias controls, to inform feature and investment decisions
• Generate strategic insights through exploratory data analysis to shape future investments or pivots in strategy
• Build and evolve the data architecture and quality requirements for content data assets spanning supply, creators, viewers, entities, content types, and surfaces, partnering with Analytics Engineering on source‑of‑truth tables
• Develop scalable metrics, dashboards, and artifacts that enable reliable, agentic analytics and faster team decision‑making
• Restore and apply rigorous methodology around quasi‑experiments and advanced causal inference to distinguish true product impact from confounding factors

Requirements

• Staff‑level or tech lead experience as a Data Scientist, ideally in social media or consumer technology
• Master’s degree or Ph.D. in Statistics
• Demonstrated expertise in non‑randomized A/B testing, network testing, and advanced causal inference methods
• Experience owning end‑to‑end product analytics, from opportunity identification and strategy through launch and measurement
• Strong cross‑functional collaboration skills with Product, Engineering, and adjacent partners, plus the ability to operate as an autonomous technical leader
• Expert proficiency in SQL and Python, including scientific computing packages such as numpy, pandas, and scikit‑learn
• Excellent communication skills, with the ability to explain complex analyses to executives and varied audiences

Benefits and work setup

• Base salary range of approximately $190,000 to $283,000 annualized, depending on skills, experience, qualifications, proficiency level, and geographic location
• Meaningful equity grant with quarterly vesting, beginning within roughly three months of start date
• Choice of health plans, including an option that is fully covered for employees only, plus a concierge‑style primary care membership
• Hybrid work model blending in‑office and remote time, with offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London