At LinkedIn, 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 LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities:

• Manage the performance and career development of a team of engineers, and own significant parts of LinkedIn products that require design, architecture, and coding.
• Participate with senior management in developing a long-term technology roadmap.
• Be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
• Work with peers across teams to support and leverage a shared technical stack.
• Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality.
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
• Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• You will be an org-wide innovator and build/leverage the most advanced practices of research, machine learning, experimentation + causal inference, data engineering and statistical modeling to deliver significant business impact
• You will analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning solutions to drive member value and customer success.
• You will engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights

Qualifications Basic Qualifications:

BS/BA in Computer Science or related technical discipline

8+ years of industry experience

1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training

2+ years experience in managing Data Science teams

Preferred Qualifications:

10+ years of relevant work experience

Strong leadership with track records in building high performing Data Science and Data Engineering teams, driving projects, applying strategic thinking, building thought leadership, and influencing senior leaders and executives

Demonstrated ability to work with peers in engineering and product management across teams to set technical and product direction

Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives

Experience with manipulating massive-scale structured and unstructured data

Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc.

Proficiency in SQL and at least one programming language (e.g., R, Python, Scala).

Experience influencing strategy through data-centric presentations.

Suggested Skills:

Java

Distributed Systems

Large Scale systems

Relational Databases

ETL

Data Manipulation

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.

Additional Information 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.