Staff Data Scientist

About the job

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. Today, Auxia powers 3B+ daily events, 6,500 queries per second, and 250M+ decisions per day, helping global enterprises like DOCOMO, Mercari, 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 Staff 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 You Bring - M.Tech/PhD or related course in Computer Science, Machine Learning, or a 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.

Requirements

• Recommender systems
• Causal inference
• Reinforcement learning
• LLM-based personalization

Qualifications

• M.Tech
• PhD
• Computer Science
• Machine Learning
• Related field

Preferred Technologies

• Recommender systems
• Causal inference
• Reinforcement learning
• LLM-based personalization

About the company

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