Associate, Decision Science

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 developtestand 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. 
• 5 years of experience in PythonRor Scala. 
• 5 years of experience withmachine learningpersonalization 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 :

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No

Employment Type :

Full-time