Staff Data Scientist — AI Strategy & Metrics Leader

LinkedIn; Mountain View (CA); Hybrid; USD 149,000 - 245,000; Full time

Benefits offered by this job

Annual bonus

Stock options

Benefits

Job summary

LinkedIn is seeking a Staff Data Scientist in Mountain View, CA to drive the technical direction across a product pillar. You will define questions, build measurement frameworks, and present analytical arguments to senior leaders, shaping AI-powered product experiences and the roadmap.

Hybrid work combines home and office days. You’ll mentor senior data scientists, partner with PM and Eng leadership, and influence strategy with data-driven insights that scale across the organization.

Qualifications

• Bachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
• 5+ years of relevant work experience.
• Experience influencing strategy through data‑centric presentations.
• Experience in SQL.
• Background in at least one programming language (e.g., R, Python, Scala).
• Experience in applied statistics and statistical modeling in at least one statistical software package.
• Experience telling stories with data and visualization tools
• Experience running platform experiments and techniques like A/B testing.
• Master's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field.

Responsibilities

• Designs and performs impactful data-driven experiments and causal analyses to test and validate new product ideas or go‑to‑market strategies, develop deeper ecosystem understanding, inform measurement framework scalability, and monitor current products or systems.
• Evaluates A/B and causal tooling for less obvious, yet impactful gaps, and potentially partners with Applied Sciences teams to create A/B and causal test protocols and methods and analyze ramp performance to help optimize new and/or existing features or models.
• Leverage AI tools in day‑to‑day workflows to increase productivity
• Conceptualizes, defines, and socializes foundational metrics to set organizational goals and scale with AI to democratize data‑driven decision‑making.
• Analyzes and interprets internal, complex, unstructured and/or structured datasets, potentially connected with external sources or cross‑line‑of‑business information, to assess business health and understand what drives business outcomes.
• Explores internal, complex artificial intelligence (AI) models and systems to create understanding and visibility into how they work, how they are tracked, and how they can be improved.
• Drives AI system roadmaps through continual assessment of model performance and refinement of LLM systems and models.
• Drives data science best practices and principles through all phases of development of customized and/or scalable data solutions.
• Advises relevant partners and internal customers on scoping data‑driven investigations and experiments, providing strategic recommendations for what best to prioritize to achieve intended strategy.
• Drives alignment and proactively communicates with Data Science teams and business functions.
• Identifies patterns of user behavior leveraging advanced data mining techniques and makes data‑informed recommendations to internal partners.
• Creates compelling, data‑centric stories and recommendations based on analytical findings to influence and shape internal customers' strategic direction and decision‑making.

Skills

Experimentation

Causal inference

Ads attribution

Python

SQL

Mentoring

Data science toolkit

Domain expertise

Education

Bachelor's degree

Master’s degree

Doctorate

Tools

Python

R

Scala

Job description

LinkedIn is seeking a Staff Data Scientist in Mountain View, CA to drive the technical direction across a product pillar. You will define questions, build measurement frameworks, and present analytical arguments to senior leaders, shaping AI-powered product experiences and the roadmap.

Hybrid work combines home and office days. You’ll mentor senior data scientists, partner with PM and Eng leadership, and influence strategy with data-driven insights that scale across the organization.