Undergraduate Data Science Intern - Strategy & Insights

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.
LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 500 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.
We are looking for talented and driven data science interns to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering and operation to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact through creative storytelling and timely actions.
Candidates must be currently enrolled in an undergraduate degree program, with an expected graduation date of December 2024 or later.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. Our internship roles will be based in Sunnyvale, CA; San Francisco, CA; or other US office locations.
Our internships are 12 weeks in length and will have the option of two intern sessions:
•May 28th, 2024 - August 16th, 2024
•June 17th, 2024 - September 6th, 2024
Responsibilities
•Work with a team of high-performing data engineering professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
•Build data expertise, act like an owner for the company and help manage complex data systems for a product or group of products.
•Perform all of the necessary data transformations to serve products that empower data-driven decision making.
•Establish efficient design and programming patterns for engineers as well as for non-technical partners.
•Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale.
•Understand the analytical objectives to make logical recommendations and drive informed actions.
•Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
Basic Qualifications:
•Currently pursuing a B.A./B.S. Degree in a quantitative discipline: computer science, statistics, applied mathematics, operations research, management of information systems, engineering, economics or equivalent and returning to the program after the completion of the internship.
•Experience in at least one programming language (eg. Python, R, Hive, Java, Ruby, Scala/Spark or Perl etc.).
•Experience with SQL or other relational databases.
Preferred Qualifications:
•Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig and Hive.
•Experience or exposure in developing data pipelines using Spark and Hive.
•Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
•Experience working with databases that power APIs for front-end applications.
•Understanding data visualization tools (eg. Tableau, BI dashboarding, R visualization packages, etc.).
•Experience building front-end visualizations using JavaScript frameworks (eg. jQuery, Marionette, D3, or Highcharts).
•Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. Advance R package, SAS, SPSS).
•Ability to communicate findings clearly to both technical and non-technical audiences.
Suggested Skills:
•SQL or other databases
•Object-oriented Programming (OOP)
•Data visualization
The pay range for this role is $50 to $60 USD per hour. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://lnkd.in/equalemploymentopportunity2017. Please reference http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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