LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day, our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

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.

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 1 billion members globally, and a mix of B2B and B2C programs, we offer countless ways for ambitious individuals to have an impact and transform their careers. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture.

The technical foundation team is an engineering team embedded into data science groups in charge of developing robust data foundations and data tooling to empower the rest of the data science team and cross functional teams. This individual will work closely with data science partners and other cross-functional stakeholders, including AI, Product Managers, and Engineering, to tackle a variety of projects. These projects may range from building data foundations and generalized tools to streamlining complex analyses or developing new methodologies. This role is unique in that it allows you to work end-to-end on new initiatives and build data solutions from the ground up.

Responsibilities

• Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from large datasets or automate complex algorithms to enable data-driven decision making.

• Work with cross-functional partners to identify business opportunities and build scalable data solutions and applications.

• Establish efficient design and programming patterns for engineers as well as for non-technical partners. Ensure best practices and standards in our data ecosystem are shared across teams.

• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.

Basic Qualifications

• Bachelor’s Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.

• 5+ years of relevant industry experience.

• Experience with SQL/Relational databases.

• Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript, prefer Python, Java and Scala).

Preferred Qualifications

• BS and 7+ years of relevant work experience, MS and 5+ years of relevant work experience, or Ph.D. and 3+ years of relevant work/academia experience working with large amounts of data.

• Experience working with data pipeline authoring system, such as Airflow, Flyte, DBT

• Good knowledge of using Spark and related development tools

• Familiarity with distributed systems, source control, testing frameworks, and all aspects of developing in large, distributed software teams.

• Build applications and platforms that enable producers and consumers of data insights to work smarter and more efficiently.

• Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences.

• Experience with data products and basic statistics.

• Experience creating data visualizations.

• Proven experience in designing and implementing complex data foundation, emphasizing high-volume, high-reliability, and high-quality datasets.

Suggested Skills

• Experience building data science or machine learning platforms.

• Experience writing RESTful / GRPC APIs with modern frameworks.

• Web App Development

• Technical Leadership

• Hands-on experience in building data pipelines to transform unstructured data into structured formats, with emerging knowledge of leveraging Large Language Models (LLMs) to enhance data processing and transformation workflows.

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 $147,000 to $240,000. 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. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: https://careers.linkedin.com/benefits.

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://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you

-Having interviews in an accessible location

-Being accompanied by a service dog

-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice