Staff Software Engineer, Data Science
Description For Staff Software Engineer, Data Science
LinkedIn, the world's largest professional network with over 800 million members, is seeking a Staff Software Engineer, Data Science to join their dynamic team. This role represents an exceptional opportunity to work at the intersection of big data and business impact, helping shape how professionals connect and grow worldwide.
The position sits within LinkedIn's Data Science team, which plays a crucial role in leveraging big data to empower business decisions and deliver data-driven insights, metrics, and tools that drive member engagement, business growth, and monetization efforts. The role offers a unique blend of technical challenge and business impact, working with massive datasets in a company that values both B2B and B2C excellence.
As a Staff Software Engineer, you'll collaborate with high-performing data science professionals and cross-functional teams, including product, marketing, sales, engineering, and operations. Your mission will be to develop infrastructure and deliver tools that enable data-driven decision-making across the organization. This involves designing and implementing performant systems for data flows and applications that power analysis at scale.
The ideal candidate will bring 8+ years of relevant experience, strong technical skills in data engineering and programming, and the ability to translate complex technical concepts into actionable business insights. You'll need expertise in SQL/Relational databases and proficiency in languages like Python, Java, or Scala. Experience with data modeling, ETL concepts, and data visualization tools would be particularly valuable.
Working in a hybrid environment, you'll have the flexibility to work both from home and from LinkedIn's office, fostering a balance between focused work and collaborative innovation. This role offers the opportunity to impact millions of professionals worldwide while working with cutting-edge data technologies and a team that values innovation, collaboration, and professional 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 environment
- Professional growth opportunities
- Work with cutting-edge data technologies
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