Software Engineer, Data Analyst, Data Scientist

Linked In is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

This role will be based in Sunnyvale.

At Linked In, our approach to flexible work is centered on trust and optimized 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 Linked In office on select days, as determined by the business needs of the team.

Linked In’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. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data‑centric culture. This person will work with the rest of the data science team and other cross‑function partners to work on a wide list of projects from generalized tools, implementations of complex analyses, prototypes of new methodologies from our Applied Research partner team, or collaborations with other engineering teams to enhance products for Data Science specific needs.

You will be responsible for guiding and building the applications that empower our Data Scientists. This is a unique opportunity to work end‑to‑end on 0 to 1 efforts as opposed to just incremental features of large established products.

• Work with a team of high‑performing data science professionals, and cross‑functional teams to identify business opportunities and build scalable data solutions.
• Establish efficient design and programming patterns for engineers as well as for non‑technical partners.
• Build dataweb applications and platforms that enable producers and consumers of data insights to work smarter and more efficiently.
• Lead the architecture and design of both front‑end and back‑end for novel data applications.
• Own the application development for one or more of our internal products and collaborate with other engineers, data scientists, and product managers to launch new products, iterate on existing features, and build a world‑class user experience. Proactively leverage AI tools to improve team productivity.
• 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 Linked In’s vision and mission.

• Bachelor’s Degree in a quantitative discipline:
  Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
• 5+ years of industry experience

• Experience writing RESTful APIs with modern frameworks (Spring/Flask).
• 7+ years of relevant work experience.
• MS or PhD in Computer Science or related technical discipline.
• Experience with data products and basic statistics.
• Experience creating data visualizations and UX design.
• Experience building data science or machine learning platforms.
• Familiarity with source control, testing frameworks, and all aspects of developing in large, distributed software teams.
• Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences.

• Relational Databases
  
  UX Designs
• Technical Leadership

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.

Linked In is committed to fair and equitable compensation practices.

The pay range for this role is $144,000 to $235,000.…