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 transform lives through innovative products and technology.
At LinkedIn, our approach to flexible work is centered on trust and optimised for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.
Data Scientists on our team partner with product managers, engineers, and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on International Products that create values for LinkedIn's global member base in over 200 countries.
About the team -
Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.
You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
Responsibilities:
• We inform product strategy, influence the product roadmap, and guide product decisions by:
• Accessing and analyzing the world’s richest professional data to generate insights and make proactive recommendations.
• Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
• Designing and analyzing experiments to test new product ideas.
• Developing models and data-driven solutions that add material lift to principal performance metrics.
Basic Qualifications:
• BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
• 5+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
• 5+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
Preferred Qualifications:
• Experience with Consumer Internet products.
• Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
• Ability to translate business objectives into actionable analyses.
• Ablility to communicate findings clearly to both technical and non-technical audiences
• Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in
• International markets, Search Engine Optimization (SEO)
• Expertise in applied statistics, understanding of controlled experiments.
• Cross-cultural background and experience
Suggested Skills:
• Sql
• Data visualization
• Hive
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
