Senior Data Scientist, Strategy & Insights

About the Role

Join LinkedIn, the world's largest professional network focused on creating economic opportunities globally. Our products enable members to form powerful connections, uncover exciting prospects, develop essential skills, and gain valuable insights daily. We foster an inclusive culture built on trust, care, inclusion, and enjoyment, prioritizing employee growth and success.

This position follows a hybrid working model, combining remote work with days at the LinkedIn office based on team business needs.

Role Summary

As a Senior Data Scientist in the Data Science team, you will analyze member and customer behaviors to inform product decisions across LinkedIn's vast network. Your responsibilities will include designing experiments, investigating key metrics, and collaborating with product and engineering teams to deploy impactful features, including cutting-edge AI-driven experiences.

Key Responsibilities

• Design and conduct data-driven experiments and causal analysis to evaluate new product concepts, go-to-market strategies, understand ecosystem dynamics, and monitor existing initiatives.
• Assess A/B testing and causal analysis tools to identify gaps; collaborate with Applied Sciences teams to refine test protocols, interpret ramp performance, and optimize features or models.
• Utilize AI tools routinely to enhance work efficiency.
• Partner with internal stakeholders to translate business challenges into testable data hypotheses.
• Develop and apply statistical models and causal analyses, including panel analysis and A/B testing, to identify drivers behind key metrics and generate actionable insights within complex product areas.
• Independently identify and diagnose issues and improvement opportunities related to AI and large language model (LLM) systems.
• Create prototype data solutions, or work with Data Science and Engineering teams to build and validate scalable tools that convert data into meaningful insights for internal clients.
• Incorporate data science best practices throughout the development lifecycle; mentor junior team members by providing constructive feedback.
• Communicate effectively with partners and internal customers regarding the scope and priority of data investigations and experiments, supporting decision-making aligned with strategic goals.
• Develop and execute predictive models estimating the impact of various initiatives on key performance indicators (KPIs).
• Create compelling narratives centered around data to aid stakeholders in making informed decisions.

Required Qualifications

• Bachelor’s degree in quantitative disciplines such as Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, or equivalent fields.
• Minimum of three years' relevant industry or academic experience handling large datasets.
• Proven ability to influence strategic decisions through data-driven presentations.
• Proficiency in SQL and at least one programming language such as R, Python, or Scala.
• Applied experience with statistics and modeling using statistical software.
• Skillful in storytelling with data and proficient in data visualization tools.
• Hands-on experience in designing and analyzing platform experiments like A/B testing.

Preferred Qualifications

• Advanced degree (Master’s or Doctorate) in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related areas.
• Strong expertise in SQL, Python, experimental design and analysis, and variance reduction techniques.
• Familiarity with causal inference methodologies.
• Product intuition specifically for two-sided marketplace environments.
• Excellent written communication skills.
• Ability to effectively measure AI-powered product features.

Benefits and Compensation

We prioritize employee and family well-being through comprehensive health and wellness programs and ample paid time off across all levels. Compensation for this role ranges between $125,000 and $205,000, influenced by candidate skills, experience, certifications, and work location variations. Additional benefits may include annual bonuses, stock options, and other incentive plans.

Equal Opportunity and Accessibility

We celebrate diversity and are committed to providing an inclusive environment free of discrimination based on protected characteristics such as race, gender, disability status, and more. LinkedIn ensures accessibility accommodations during recruitment and interviewing upon request. Reasonable adjustments include alternative document formats, accessible interview venues, service animals, and sign language interpreters. Accommodation requests are typically addressed within three business days.

Legal and Compliance Notes

• The company complies with pay transparency legislation and will not unlawfully discriminate in compensation or employment.
• Qualified applicants with arrest or conviction histories are considered in accordance with relevant fair chance laws.
• Applicants can access information regarding data privacy, job candidate rights, and legal posters provided by LinkedIn.