Data Scientist

Auxia is building the Agentic Customer Journey Orchestration Platform, redefining how enterprises activate, engage, and retain their customers through intelligent, adaptive AI systems. Backed by $23.5M in funding from top-tier investors - VMG Technology Partners, Stage 2 Capital, and MUFG Innovation Partners - we’re on a mission to make every enterprise truly intelligent.

Our founders, Sandeep Menon (ex-VP Marketing, Google) and Ravi Desu (ex-Global Engineering Lead, WhatsApp Payments @ Meta), are building Auxia with the same ambition and technical excellence that powered global platforms used by billions. Learn more about our vision here and here.

Today, Auxia powers 3B+ daily events, 6,500 queries per second, and 250M+ decisions per day, helping global enterprises like DOCOMO, Mercari, Atlassian and MUFG unlock the full potential of their first-party data.

Your Impact

You won’t just be joining a data science team - you’ll be shaping the future of autonomous, AI-driven personalization. As a Data Scientist, you’ll lead innovation at the intersection of recommender systems, causal inference, reinforcement learning, and LLM-based personalization. Your work will directly influence how millions of end-users experience hyper-personalized content in real time.

What You’ll Do

• Architect and advance large-scale recommender and ranking models powering adaptive customer journeys.
• Design and deploy autonomous agents that understand goals, make real-time decisions, and continuously optimize engagement.
• Partner with engineering and product leaders to translate cutting-edge AI research into scalable systems.
• Lead experimentation frameworks that bridge causality, personalization, and business impact.
• Mentor across teams - setting the data science bar for both experimentation and productization.
• Stay ahead of the curve by bringing ideas from academia and industry research into production.

What We’re Looking For

• M.Tech/PhD or related course in Computer Science, Machine Learning, or related field.
• 10+ years of experience building and deploying production ML systems at scale.
• Deep expertise in personalization, ranking, recommendation, causal inference, and transformers.
• Mastery of PyTorch / TensorFlow / JAX, and the Python data ecosystem (NumPy, Pandas, SciPy).
• Strong applied experience with LLMs, RAG, information retrieval, and reinforcement learning.
• Strong product sense, with the ability to balance research depth and real-world impact.
• An entrepreneurial, ownership-driven mindset - the ability to ship, iterate, and scale models fast.