Lead - Data Scientist

About the role

Lead Data Scientist, GenAI for Employee Engagement

This role defines the data strategy for Generative Artificial Intelligence in employee engagement. You will lead the development of interactive, conversational systems that replace traditional dashboards. The position involves owning end-to-end delivery for solutions that scale to over one million users. You will use real-time streaming data analysis to drive adoption across the enterprise.

The Impact You Will Create

Your work will reshape how users interact with technology inside the organization. You will build models that deliver massive scale, next-gen user experiences, and advanced automation. The solutions you create will process millions of streaming data points to serve real-time insights. You will solve complex Text2Action problems and analyze time-series data to detect anomalous behavior instantly.

Roles & Responsibilities

You will partner closely with product and business teams. This collaboration ensures a deep understanding of challenges within the GenAI landscape. The goal is to align data science initiatives with core organizational objectives. You will conceptualize, experiment, and design intelligent systems. These systems will be powered by GenAI, applying deep expertise in machine learning and advanced mathematics.

You will take full ownership of ML pipelines from start to finish. This responsibility covers data pre-processing, model generation, cross-validation, and continuous feedback integration. Collaboration with ML Engineers will focus on designing scalable architectures. The aim is to enable low-latency, real-time ML and AI services.

You will build and develop efficient systems for ingesting vast volumes of streaming data. Defining and monitoring key performance metrics is essential. These metrics must accurately reflect the tangible value delivered to end-users. Your work will ensure GenAI solutions generate measurable business impact.

Qualifications

A Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a highly related quantitative field is required. The position requires a minimum of 7 years of relevant industry work experience. You must have a proven track record of deploying ML projects into production systems. Your contributions should include substantial individual achievements in this area.

Key Skills

A profound understanding of the math underpinning machine learning algorithms is mandatory. This knowledge must include probability, statistics, linear algebra, calculus, and optimization. Hands-on experience with Natural Language Processing is essential. You must have expertise in prompt engineering, Large Language Models, transformers, and knowledge graphs.

Proficiency in large-scale computing and Big Data technologies is required. Experience with distributed programming frameworks like Hadoop and Spark is critical. Strong proficiency with database systems and schema design is necessary for both SQL and NoSQL databases. A solid background in specialized areas is expected. You should have expertise in at least two of the following: Natural Language Processing, Statistical ML techniques, Deep Learning, Distributed Systems, Graph algorithms, Constraint optimization, or Signal processing.

Exceptional problem-solving and programming skills form the foundation of this role. If you are a forward-thinking data scientist, you will thrive here. You will push the boundaries of GenAI and drive the transformation of IT services.

About Freshworks

Organizations everywhere struggle under the crushing costs and complexities of software solutions. These promise to simplify work and improve experiences for customers and employees. Software is a choice that can make or break a business. It can create better or worse experiences and propel or throttle growth. Business software has become a blocker instead of a tool to get work done.

There is another option. Freshworks offers a fresh vision for how the world works. We build uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction. This helps businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support. Thousands of companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks. They use our platform for Employee Experience and Customer Experience operations.

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

What you'll do

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