LinkedIn was built to help professionals achieve more in their careers, and everyday 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 are much more than a digital resume – we transform lives through innovative products and technology.

　　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 700 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.

　　Responsibilities:

　　Work with a team of high-performing data science 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 manage complex data systems for a product or a 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.

　　Ensure best practices and standards in our data ecosystem are shared across teams.

　　Understand the analytical objectives to make logical recommendations and drive informed actions.

　　Engage with trust infrastructure and internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.

　　Be a self-starter, Initiate and drive projects to completion with minimal guidance.

　　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.

　　2+ years of relevant industry or relevant academia experience working with large amounts of data

　　Experience with SQL/Relational databases

　　Experience with manipulating massive-scale structured and unstructured data.

　　Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.).

　　Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)

　　Experience working with databases that power APIs for front-end applications.

　　Experience with either data workflows/modeling, front-end engineering, or back-end engineering.

　　Preferred Qualifications

　　Masters or Ph.D. degree in a quantitative discipline: computer science, statistics, operations research, informatics, engineering, applied mathematics, economics, etc.

　　Experience in developing data pipelines using Spark and Hive.

　　Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.

　　Experience in either the front-end or back-end development of data-powered applications.

　　Deep understanding of technical and functional designs for relational and MPP Databases

　　Experience with Reporting and Data Mining systems.

　　Experience working in the product analytics domains.

　　Experience in data visualisation and dashboard design including tools such as Tableau, R visualisation packages, D3, and other Javascript libraries, etc.

　　Knowledge of Unix and Unix-like systems, git and review board.

　　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

　　Suggested Skills:

　　Java

　　Distributed Systems

　　Relational Databases

　　ETL

　　Data Manipulation

　　India Disability Policy

　　LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

　　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://legal.linkedin.com/candidate-portal