Data Scientist

Position: Staff Data Scientist
Location: Bengaluru

Who We Are
For more than 23 years, people-driven companies have turned to Sequoia to grow their
people advantage. We know that taking great care of people leads to better business
outcomes. Helping our clients achieve those outcomes is what drives our team, our strategic
service offerings, and our technology forward.
Through their compensation, benefits, and overall people programs, we enable companies to
better manage their total people investment, helping them attract, retain, and motivate the
people they need to win. We are passionate about coming through for those who put their
trust in us and winning as a one team using one platform.

What You Get to Do

• Design and build cutting-edge GenAI solutions that power analytics and insights in HR, benefits, and payroll

• Lead the development of AI systems that make complex data accessible and actionable for business users

• Fine-tune and deploy large language models to solve real business challenges

• Drive technical decisions around model architecture, deployment strategies, and production optimization

• Guide junior data scientists and collaborate with cross-functional teams to deliver impactful solutions

• Shape the future of how AI can support HR & Finance teams in high-growth companies

Qualifications

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or related field

• 12+ years of hands-on data science experience, with recent focus on GenAI/LLMs

• Proven track record of taking AI projects from prototype to production

Strong experience with:
o LLM development and fine-tuning (e.g., GPT models, embedding models)
o Modern AI frameworks (PyTorch, Transformers, Lang Chain)
o Production ML deployment and monitoring
o Python development and API design
o Cloud platforms (AWS/Azure/GCP)

• Excellent communication skills and ability to work with diverse stakeholders

What Sets You Apart:

• Experience optimizing LLMs for production (cost, latency, scaling)

• Track record of maintaining AI systems in production

• Ability to balance innovation with practical business needs

• Experience with HR/people analytics domain