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Location: Bengaluru, KA, India
Department: Engineering
Job Description
LinkedIn’s Data Science team leverages big data to develop data-driven solutions for LinkedIn’s Infrastructure organization. LinkedIn’s infrastructure is the backbone of our operations, encompassing data centers, servers, network infrastructure, power systems, and foundational software platforms that power all our products and services. A career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.
This role involves guiding the Experimentation Platform team in developing a statistically correct, flexible, and powerful platform for online experimentation. You will be the statistical voice and technical lead, co-designing a new AI experimentation experience and backend, ensuring high-level functionality like hierarchical experimentation and statistical correctness guardrails. You will be in charge of developing and integrating a variety of experiment analysis techniques, including more powerful variance reduction methods, quantile treatment effect analysis, and cross-experiment analysis. Finally, you will help drive expansion of platform capabilities into additional experiment designs, such as cluster-randomized designs and budget split testing.
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:
• Co-design the new AI experimentation experience and the backend that powers it.
• Collaborate cross-functionally to identify business opportunities and develop algorithms and methodologies to address them.
• Analyze large-scale structured and unstructured data.
• Develop methodologies to enhance LinkedIn’s online experimentation capabilities.
• Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.
• Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn.
• Initiate and drive projects to completion independently.
• Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals.
• Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company.
• Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.
Qualifications
Basic Qualifications:
Preferred Qualifications:
Suggested Skills:
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 and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Company Description
LinkedIn 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.
Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3141 that say).
From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹14L – ₹25L a year (typical for IT Jobs in Bangalore, 288 posts).
The post asks for 10 Yrs experience.
In Bangalore (hybrid).
It is a full time job.
You apply on LinkedIn's website. CoreHRx takes you there after you sign in.
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