Senior Software Engineer - Data Science
Software Engineering, Data Science
Bengaluru, Karnataka, India
Posted on May 9, 2025
LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to have a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology.
LinkedIn Talent Solutions provides a comprehensive suite of tools and services designed to assist organizations in sourcing, hiring, and managing talent effectively. Below is an overview of its key offerings. As a part of this world-class software engineering team, you will be charged with architecting, designing, developing, and supporting some Internet-scale features and infrastructures at LinkedIn. This role also 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.
The ideal candidate will be excited for the challenge to transform and think critically on many computer science disciplines including product design, usability, building APIs and user-centric online applications, business logic, scaling performance, and 24x7 reliability. This person will also work closely with various cross-functional teams such as product, marketing, sales, engineering, policy and operations to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions.
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:
- Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write 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.
- Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
- Drive impact by shaping product and business strategy through data-centric presentations.
- Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive member value and customer success.
- Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insights.
- Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.
Basic Qualifications:
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
- 3+ years experience programming experience in Java and/or C++
· 1+ years of relevant industry or relevant academia experience working with large amounts of data
- Experience in SQL.
- Background in at least one programming language (e.g., R, Python, Scala).
- Experience telling stories with data and visualization tools.
- Experience running platform experiments and techniques like A/B testing.
Preferred Qualifications:
- 8+ years of relevant work experience.
- Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
- Experience with object-oriented design, coding, testing patterns, and programming languages (Java, C++).
- Proven coding skills in a high level language with interest and ability to learn other coding languages as needed.
- Experience building web applications and services with IDEs and general development practices.
- 2+ years of relevant industry or relevant academia experience working with large amounts of data
- Experience with manipulating massive-scale structured and unstructured data.
- Excellent communication skills, with the ability to synthesize, simplify and explain complex
Suggested Skills:
• Data Structures & Algorithms
• Software Design
• Java
• SQL
• Python
• Data Storytelling
• Data Interpretation
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.
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
LinkedIn Talent Solutions provides a comprehensive suite of tools and services designed to assist organizations in sourcing, hiring, and managing talent effectively. Below is an overview of its key offerings. As a part of this world-class software engineering team, you will be charged with architecting, designing, developing, and supporting some Internet-scale features and infrastructures at LinkedIn. This role also 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.
The ideal candidate will be excited for the challenge to transform and think critically on many computer science disciplines including product design, usability, building APIs and user-centric online applications, business logic, scaling performance, and 24x7 reliability. This person will also work closely with various cross-functional teams such as product, marketing, sales, engineering, policy and operations to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions.
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:
- Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write 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.
- Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
- Drive impact by shaping product and business strategy through data-centric presentations.
- Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive member value and customer success.
- Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insights.
- Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.
Basic Qualifications:
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
- 3+ years experience programming experience in Java and/or C++
· 1+ years of relevant industry or relevant academia experience working with large amounts of data
- Experience in SQL.
- Background in at least one programming language (e.g., R, Python, Scala).
- Experience telling stories with data and visualization tools.
- Experience running platform experiments and techniques like A/B testing.
Preferred Qualifications:
- 8+ years of relevant work experience.
- Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
- Experience with object-oriented design, coding, testing patterns, and programming languages (Java, C++).
- Proven coding skills in a high level language with interest and ability to learn other coding languages as needed.
- Experience building web applications and services with IDEs and general development practices.
- 2+ years of relevant industry or relevant academia experience working with large amounts of data
- Experience with manipulating massive-scale structured and unstructured data.
- Excellent communication skills, with the ability to synthesize, simplify and explain complex
Suggested Skills:
• Data Structures & Algorithms
• Software Design
• Java
• SQL
• Python
• Data Storytelling
• Data Interpretation
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.
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