Senior Data Scientist

Linkedin3; Sunnyvale (CA); On-site; USD 125,000 - 205,000; Full time

Benefits offered by this job

Stock options

Annual bonus

Health and wellness programs

Job summary

LinkedIn in Sunnyvale, CA is seeking an experienced data scientist to design data-driven experiments, build causal analyses, and advance AI/LLM initiatives across product domains. You will partner with Applied Sciences, data engineering, and product teams to translate business questions into testable hypotheses, develop predictive models, and communicate insights to stakeholders.

This role emphasizes experimentation, AI tooling, and scalable data solutions, with collaboration across engineering

Qualifications

• Bachelor's degree in a quantitative field.
• 3+ years of experience with large datasets.
• Experience presenting data-driven recommendations.
• Proficiency in SQL.
• Experience in at least one programming language (R/Python/Scala).
• Experience with data visualization.
• Experience running platform experiments (A/B testing).

Responsibilities

• Designs and performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies, develop ecosystem understanding, and monitor current products or systems.
• Evaluates A/B and causal tooling for discernable 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.
• Partners with internal customers to translate business problems into data-verifiable hypotheses.
• Develops and employs models and causal analyses to determine what drives metric relationships and create actionable insights within moderately complex product domains.
• Independently diagnoses issues and identifies opportunities to drive improvements within AI/LLM systems.
• Prototypes data solutions, and/or collaborates with relevant partners to operationalize, build, and validate scalable tools/applications/solutions for use by internal customers to convert data into insights.
• Embeds data science best practices and principles through all phases of development of customized and/or scalable data solutions, providing feedback to junior team members.
• Communicates with relevant partners and internal customers on scoping data-driven investigations and experiments, contributing to recommendations for what best to prioritize to achieve intended strategy.
• Develops and runs predictive models for estimating the impact of initiatives on identified KPIs.
• Independently creates compelling, data-centric stories based on analytical findings to contribute to internal customers' decision-making.

Skills

Data storytelling

Experiment design

A/B testing

Communication

Strategic thinking

Education

Bachelor's degree in a quantitative discipline

Master's or Doctorate preferred

Tools

SQL

Python

R

Scala

Job description

Responsibilities

• Designs and performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies, develop ecosystem understanding, and monitor current products or systems.
• Evaluates A/B and causal tooling for discernable 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
• Partners with internal customers to translate business problems into data-verifiable hypotheses.
• Develops and employs models and causal analyses (e.g., panel analysis, A/B testing) to determine what drives metric relationships and create actionable insights within moderately complex product domains.
• Independently diagnoses issues and identifies opportunities to drive improvements within AI/LLM systems.
• Prototypes data solutions, and/or collaborates with relevant partners (e.g., Data Science teams, Engineering) to operationalize, build, and validate scalable tools/applications/solutions for use by internal customers to convert data into insights.
• Embeds data science best practices and principles through all phases of development of customized and/or scalable data solutions, providing feedback to junior team members.
• Communicates with relevant partners and internal customers on scoping data-driven investigations and experiments, contributing to recommendations for what best to prioritize to achieve intended strategy.
• Develops and runs predictive models for estimating the impact of initiatives on identified KPIs.
• Independently creates compelling, data-centric stories based on analytical findings to contribute to internal customers' decision-making.

Basic Qualifications

• Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
• 3+ years of relevant industry or relevant academia experience working with large amounts of data
• 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.

Preferred Qualifications

• Master's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field.
• Experience with SQL & Python, experimentation (design, analysis, variance reduction),
• Experience with causal inference methods;
• Product intuition for two-sided marketplaces
• Clear written communication
• Ability to understand how to measure AI-powered product experiences.

Suggested Skills

• Communication
• Decision Making
• Data Science
• Domain Knowledge and Skills
• Strategic Thinking

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $205,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more