Staff Software Engineer, Data Science
Description For Staff Software Engineer, Data Science
LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer, Data Science to join their dynamic team in Bengaluru. This role sits at the intersection of big data and business impact, working with LinkedIn's massive dataset of over 800 million members worldwide. The position offers a unique opportunity to drive data-driven decision-making across the organization, from member engagement to business growth and monetization efforts.
The ideal candidate will be a seasoned professional with 8+ years of experience, combining technical expertise in data engineering with business acumen. You'll work alongside high-performing data science professionals and cross-functional teams, building scalable data solutions that power LinkedIn's data-centric culture. The role involves designing and implementing performant systems for data flows, establishing efficient programming patterns, and ensuring best practices across the data ecosystem.
Key technical requirements include expertise in SQL/Relational databases and proficiency in languages like Python, Java, or Scala. Experience with data modeling, ETL concepts, and data visualization tools is highly valued. The position offers a hybrid work arrangement, combining remote work with office presence, and provides an opportunity to work on projects that directly impact hundreds of millions of professionals worldwide.
This role is perfect for someone who wants to work at the forefront of big data technology while making a meaningful impact on how professionals connect and grow their careers. You'll be part of LinkedIn's mission to create economic opportunity for every member of the global workforce, working in an environment that values belonging and career growth.
Responsibilities For Staff Software Engineer, Data Science
- 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 internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms
- Contribute to engineering innovations that fuel LinkedIn's vision and mission
Requirements For Staff Software Engineer, Data Science
- Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc
- 8+ years of relevant industry or relevant academia experience working with large amounts of data
- Experience with SQL/Relational databases
- Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)
Benefits For Staff Software Engineer, Data Science
- Hybrid work arrangement
- Career growth opportunities
- Work with cutting-edge technology
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