Lead - Data Scientist

About Freshworks:

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.

There’s another option. Freshworks. With a fresh vision for how the world works.

Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations.

Fresh vision. Real impact. Come build it with us.

Job Description

As a Lead Data Scientist with a focus on Generative Artificial Intelligence (GenAI), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement. You will lead efforts to leverage GenAI techniques to solve complex challenges, transitioning the next generation of IT services away from traditional dashboards and filters into an interactive, conversational experience backed by real-time streaming data analysis.

The Impact You Will Create

You will not just be building models; you will be reshaping how users interact with technology. Your work will directly result in:

• Massive Scale: Building a state-of-the-art conversational servicebot designed to scale seamlessly across 1 million+ Monthly Active Users (MAU).

• Next-Gen User Experience: Serving real-time insights to customers through a cutting-edge conversational UI/UX that processes millions of streaming data points.

• Advanced Automation: Developing production-grade AI/ML solutions to solve complex Text2Action problems and analyzing time-series data to detect anomalous behavior instantly.