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Job Description

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.

TheAI team withinTech COE organizationis responsible forbuilding the ultimate go-to-market engine to connect our solutions with customer needs at scale. As an Associate Decision Science, you will be partnering with stakeholders to crack the most important challenges to drive operational excellenceandultimately increasecustomer value.

This role focuses on building and deploying AI and GenAI solutions that turn complex data into actionable business insights, improve forecasting, and drive operational efficiency. It involves solving advanced analytical problems, creating intelligent systems for sales teams, and partnering cross-functionally to scale data-driven processes and innovation.

Theideal candidateshould have a strategic mindset andstrongcommunications skillstocollaborate with cross-functional stakeholdersanddrive critical business decisions. The candidate should also be able to handlehighly sensitive, confidential, and non-routine information, have high attention to detail, be open-minded to challenge the status quo and work in a rapidly changing organizationin close collaboration withbusiness partners.

Responsibilities:

Deliver data-driven recommendations and insights to support strategic projects across GTMOps
Understand the business, track operational performance, provide insights andrecommendations.
Manage expectations from stakeholders; manages deadlines/timeframesfor larger initiatives and projects with minimal guidance on prioritization or dependencies.
Deploy the models in production systems & monitor/troubleshoot/debug production issues related to models.
Design, develop,testand deploy ML models and agents.
Collaborate closely with partner teams in infrastructure and AI to integrate with other systems to run a seamless ML pipeline.
Translate unstructured, complex business problemsinto scalable solutions.

Qualifications

Basic Qualifications:

Mastersor PHDin Computer Scienceor related technical discipline.
4+ years of experience in Python,Ror Scala.
4+ years of experience withmachine learning,personalization algorithms, privacy enhancing technologies (PETs), optimization algorithms, and/or deep-learning techniques.
3+ years of experience withbuildingAI models and multi product deployment.

Preferred Qualifications:

Experience in deploying machine learning models in Azure cloud.
Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.)
Background in anyoneofprogramming language (C#, Java, PHP, JavaScript)
Experience in integrating AI solutions with different systems andsoftware.
Strong fundamentals in StatisticsandOptimization.
Exposure to Deep Learning and Reinforcement Learning is a plus.
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication
Deep understanding of technical and functional designs for relational and MPP Databases.
Experience in data visualization and dashboard design
Published work in academic conferences or industry circles

Suggested skills

Machine Learning & Deep Learning
AI Model Deployment
Distributed Data Systems

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.

Associate, Decision Science