We are seeking data science interns to work on our rich datasets, encompassing text, graphs, and user interactions. Join us to tackle real-world problems through cutting-edge applied research, focusing on experimentation, causal inference, and machine learning. You will have the opportunity to build models to advance our understanding of ecosystem, develop insights through data mining and analytics, and apply advanced algorithms to improve measurement and recommendations. This role is ideal for those with a passion for translating data into impactful solutions and building scalable, data-driven insights and systems.

Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2026 or later.

Our internships are 12 weeks in length and will have the option of two intern sessions

• May 26th, 2026 - August 14th, 2026
• June 15th, 2026 - September 4th, 2026

Responsibilities

• Analyze large-scale structured and unstructured data to gain actionable insights, identify patterns, and interpret user behaviors.
• Conduct in-depth and rigorous causal analysis and develop causal methodology and machine learning models to drive member value
• Explore vast datasets to discover relevant features and attributes that can improve the performance of existing models. Extract valuable information from unstructured data sources and apply feature engineering techniques to enhance model effectiveness. Continuously optimize and fine-tune models to meet business objectives and user expectations.
• Initiate and drive projects to completion independently with production quality code and thorough documentation

Qualifications Basic Qualifications

• Currently pursuing a PhD in computer science, statistics, mathematics, machine learning, or related technical field and returning to the program after the completion of the internship
• Research experience related to one of the following domains: Experimentation and causal inference, Machine Learning, Differential Privacy, Forecasting, Econometrics, Operations Research, or related area, with publications in conferences.
• Hands-on experience with machine learning, data mining, or statistics

Preferred Qualifications

• Understanding of common programming languages used in Data Science , such as Python, Java, C++, and R
• Experience with SQL/Relational databases

Suggested Skills

• Machine Learning
• Research
• Causal Inference

As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $62 to $75. 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 information, visit https://careers.linkedin.com/benefits.

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