Bengaluru, KA, India
Live, first seen by us 88 days agoYou will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph. 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:Read the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Analyze the world's professional data to generate insights and proactive recommendations
Formulate success metrics for new products and build dashboards to monitor them
Design and analyze experiments to test new product ideas
Develop models and data-driven solutions that lift principal performance metrics
Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
Designing and analyzing experiments to test new product ideas.
Developing models and data-driven solutions that add material lift to principal performance metrics.
10+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
10+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
Experience with Consumer Internet products.
Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
Ability to translate business objectives into actionable analyses.
Ability to communicate findings clearly to both technical and non-technical audiences
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Day 88
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past LinkedIn’s usual: its jobs come down by about day 7.
From 11,783 similar postings that came down, and 55 of LinkedIn’s. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Experience with Consumer Internet products. - Experience programming in Python, Java, or another programming language - Pig experience desired but not required. - Ability to translate business objectives into actionable analyses.
- BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc. - 10+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package. - 10+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
- 10+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package. - 10+ years of experience in a Unix/Linux environment for automating processes with shell scripting. Preferred Qualifications:
Suggested Skills: - Sql - Data visualization
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Yes. We’ve followed one other Staff Data Scientist job there since August 2026. It came down after 0 days.
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.
Data Scientists on our team partner with product managers, engineers, and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on International Products that create values for LinkedIn's global member base in over 200 countries.
About the team -
LinkedIn Learning Solutions Engineering India is a ground-up, AI-first org building scalable systems and consumer-grade experiences that connect skills, learning, career growth, and internal mobility across LinkedIn Learning and the enterprise Career Hub. Engineers own end-to-end delivery across web, mobile, backend, data, and AI - designing architectures for skills intelligence, skill-gap detection, personalized recommendations, workforce transformation, and internal mobility—while shaping engineering standards, culture, and hiring in a greenfield environment with LinkedIn’s scale.
You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
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:
Basic Qualifications:
Preferred Qualifications:
Suggested Skills:
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.
LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
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Bengaluru, KA, India
You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph. 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:
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