Staff Data Scientist

LinkedIn; Bengaluru; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

LinkedIn in Bengaluru, India is seeking a Data Scientist to join the Learning Solutions Engineering India team. You will partner with product managers, engineers, and design to drive LinkedIn membership growth through data-driven decisions.

The role emphasizes building scalable data products, experiments, and dashboards, with a focus on international products that serve LinkedIn's global member base. Hybrid work is available.

Qualifications

• BS/MS in a quantitative discipline such as Statistics, Applied Mathematics, OR, CS, Engineering or Economics.
• 10+ years of experience with large data, SQL and R.
• 10+ years in a Unix/Linux environment for automating processes with shell scripting.
• Experience with Consumer Internet products is preferred.
• Ability to translate business objectives into actionable analyses and communicate findings clearly.

Responsibilities

• Inform product strategy, influence the product roadmap, and guide product decisions.
• Access and analyze large professional data to generate insights and proactive recommendations.
• Formulate success metrics for novel products and create dashboards to monitor them.
• Design and analyze experiments to test new product ideas.
• Develop models and data-driven solutions that improve principal performance metrics.

Skills

Analytical thinking

Communication

Cross-functional collaboration

Education

BS/MS in quantitative discipline

Tools

SQL

R

Unix/Linux scripting

Python

Java

Hive

Job description

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. 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.

Job Description

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

• We inform product strategy, influence the product roadmap, and guide product decisions by
• 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.

Qualifications

Basic Qualifications

• 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.

Preferred Qualifications

• 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
• Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in International markets, Search Engine Optimization (SEO)
• Expertise in applied statistics, understanding of controlled experiments.
• Cross-cultural background and experience

Suggested Skills

• Sql
• Data visualization
• Hive

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.