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Senior Associate Data & BI - Bangalore 

The Central Operations organization is responsible for building the ultimate go-to-market engine to connect our solutions with customer needs at scale. As a Data & BI Sr Associate, you will be partnering with senior leaders to crack the most important strategic topics to drive operational excellence and ultimately increase customer value. This role is responsible for leading data-driven recommendations, designing, building and deploying AI models for classification, clustering and prediction, integrating AI solutions, converting data into business insights using data processing and data mining techniques, and scaling operational and planning processes in partnership with cross-functional stakeholders. 

The ideal candidate should have a strategic mindset and strong communications skills to collaborate with cross-functional stakeholders and drive critical business decisions. The candidate should also be able to handle highly 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 organization in close collaboration with business partners. 

Responsibilities: 

• Lead data-driven recommendations and insights to support strategic projects across Central Operations 

• Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies.   

• Understand the business, track operational performance, provide insights and recommendations.  

• Support company-wide programs through ownership of analytical projects 

• Independently manage expectations from stakeholders; manages deadlines/timeframes for 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, test and deploy ML models. 

• Collaborate closely with partner teams in infrastructure and AI to integrate with other systems to run a seamless ML pipeline. 

• Translate unstructured, complex business problems. 

• Promote and advocate AI use cases both within the organization.  

Basic Qualifications: 

• BS or MS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, etc.) 

• Experience with building AI models. 

• 3+ years of experience in Python, R or Scala. 

• Background in analytical and technical skills, with clear attention to detail 

• Experience with deploying AI models (On-Premises/Cloud) 

• Experience with big data processing 

Preferred Qualifications: 

• Ability to select the right statistical methods for a given data science problem. 

• Strong fundamentals in Statistics and Optimization 

• 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 any one of programming language (C#, Java, PHP, JavaScript) 

• Experience in integrating AI solutions with different systems and softwares. 

• Exposure to Deep Learning and Reinforcement Learning is a plus. 

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