Data Scientist

Description

The company runs one of the largest networks on the Internet, serving millions of websites and properties from individual bloggers to Fortune 500 companies. Its service protects and speeds up any web application without new hardware, installed software or code changes, and traffic routed through its global network improves with every request, which customers see as better performance and fewer spam and attack problems. The company was named to Entrepreneur Magazine's Top Company Cultures list and ranked among Fast Company's World's Most Innovative Companies.

The company wants people who notice broken parts of the Internet that others have accepted, who spot problems that look normal, and who use the latest AI tools to build fixes. Teams iterate, use AI to ship faster, and share every improvement, however small, across the team. Curiosity matters more than bureaucracy, and a willingness to use AI as a partner on hard problems is important.

Location: Bengaluru, India.

The Data Intelligence & Analytics organization builds the core data platform and internal products used company-wide for decisions. It runs large-scale data systems, the data lake, ingestion infrastructure and platform tooling, and builds end-to-end applications that turn complex datasets into fast, reliable products used daily by go-to-market, product and engineering teams. The work spans data platforms, distributed systems and product development, and engineers own significant problems across the stack.

The role is for an experienced data scientist in the Bangalore team, helping scale the next generation of AI/ML models. You will train predictive models and the workflows behind AI-driven applications, agents and chatbots used by go-to-market, engineering and product teams. Teams own what they build, so you will be involved from requirements and system design through implementation, deployment and long-term ownership.

You will build scalable, reliable AI/ML models, services and GenAI application backends, working closely with data and full-stack engineers to ship features and run the pipelines and platforms behind the products. The stack includes Python, React and TypeScript, and keeps evolving. Many applications have strong AI components, including vector databases, MCP-based services and Workers AI.

Responsibilities

• Work with business leaders, stakeholders, product managers and internal teams to understand their challenges and goals, and address them with predictive analytics across a globally distributed organization.
• Learn the data landscape, including tools, tech stack and source systems, and work with data engineering to improve data collection and quality.
• Track business and product strategy and the high-level roadmap, and point analysis at those goals so it delivers useful insights.
• Present findings to different audiences with clear, concise storytelling that leads with the key takeaways.
• Define, implement and train statistical, machine learning, deep learning and generative AI models.
• Apply software engineering best practices to publish model scores, insights and learnings across the company at scale.
• Regularly identify macro and micro trends with statistical significance and explain the main drivers behind them.
• Take an active part in hiring, growing and mentoring the data scientist team in Bengaluru.

Requirements

• A bachelor's or master's degree in computer science, statistics, mathematics or another quantitative field.
• 5+ years of data science experience, ideally at a large scale (petabytes) across globally distributed teams. Experience at a fast-growing SaaS company is preferred.
• Strong experience building models with finance, sales and marketing teams to drive business outcomes such as customer and revenue growth.
• Strong scientific computing skills in Python.
• Experience with Spark, SQL, Tableau, Google Analytics, BigQuery or an equivalent big data or cloud tool.
• Experience working with structured, unstructured and semi-structured data.
• Strong cross-functional collaboration with data engineering and data analyst teams.
• A proven record of using data insights and machine learning to meet business needs and drive revenue.
• Proficiency with large language models and frameworks such as LangChain and LangGraph for building GenAI applications like AI agents, chatbots and related use cases.
• Strong written and presentation skills for different internal audiences.
• Ability to work closely with business, engineering and product teams so data work matches business needs.
• Experience hiring data scientists and setting team practices is preferred.

Conditions

Based in Bengaluru, India, with the team there.

Some candidates who reach the offer stage may be asked to attend an in-person interview at a the company office or hub. Details come later in the process.

The role may involve access to information controlled under U.S. export laws, including the U.S. Export Administration Regulations. Any offer may depend on your authorization to receive controlled software or technology without sponsorship for an export license.

Benefits

• Work on a company network with a strong culture, where improvements are shared and the team grows together.