Description

Are you a seasoned Data Scientist who thrives at the intersection of cutting-edge AI and real-world business impact? We are looking for a Senior Data Scientist with 5–6 years of experience to lead high-priority ML and Generative AI initiatives.

In this role, you won't just build models—you’ll own the entire lifecycle, from architecting scalable solutions on AWS to translating complex insights for executive leadership.

What You’ll Do:

• Lead GenAI Strategy: Design and deploy production-ready LLM and ML solutions that solve high-impact business problems.
• End-to-End Ownership: Take projects from ideation and "napkin math" to full-scale deployment and MLOps.
• Cross-Functional Influence: Partner with Sales, Pricing, and Ops teams to identify ROI-driven AI opportunities.
• Mentor & Scale: Foster technical excellence by guiding junior scientists and driving a culture of innovation.

What You Bring:

• Experience: 5–6 years in DS/ML (including hands-on Generative AI development).
• Tech Stack: Expert-level Python, SQL, and Spark.
• Cloud & Engineering: Proven track record with AWS and building scalable data pipelines.
• The "So What" Factor: Exceptional storytelling skills—you can turn "black box" models into actionable business strategies.
• Education: Degree in CS, Engineering, Math, or a related quantitative field.

Why Join Us?

You’ll have the autonomy to build, the resources to scale, and a seat at the table with senior stakeholders to influence the future of our AI roadmap.

Requirements added by the job poster

• 4+ years of work experience with Machine Learning

• 3+ years of work experience with Generative AI

Key Skills

Education

Any Graduate