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Associate, Data Analytics & AI

EnterpriseDB CorporationPune, Maharashtra, India
On-site Full-time

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Experience Level

Experience

Qualifications

Key Responsibilities:Revenue-Driven Predictive Modeling: Create and implement models that address critical GTM challenges, including lead scoring and churn prediction.

About the job

A Glimpse into Our Company

EnterpriseDB (EDB) is at the forefront of providing a comprehensive data and AI platform, empowering organizations to fully utilize the capabilities of Postgres for transactional and analytical workloads across diverse cloud environments. With a commitment to enhancing enterprise efficiency, we help over 1,500 global clients manage risks, control costs, and scale operations effectively in an AI-driven landscape. As a leading contributor to the PostgreSQL community, we support a variety of sectors, including government, finance, media, and IT, with our data-centric solutions that modernize legacy systems and eliminate data silos. Our offerings ensure high availability, up to 99.999%, alongside essential features such as security and compliance. Discover more at www.enterprisedb.com.

Position Overview:
We invite a driven and innovative Associate in Data Analytics & AI to join our dynamic team. This role is not merely research-oriented; it's a 'builder' position focused on catalyzing tangible growth. You will be tasked with designing, implementing, and scaling AI solutions that play a pivotal role in shaping our Go-to-Market (GTM) strategy, enhancing everything from sales funnel optimization to automating intricate commercial processes. Your expertise in MLOps and Agentic Orchestration will be crucial in transitioning AI from experimental phases to production, thereby developing autonomous tools that empower our sales, marketing, and customer success teams to achieve superior outcomes swiftly and intelligently.

About EnterpriseDB Corporation

EnterpriseDB (EDB) is dedicated to revolutionizing how organizations harness data, offering cutting-edge solutions that bridge the gap between traditional systems and modern data needs. With a strong focus on PostgreSQL, we are committed to driving innovation in the data landscape.

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