---
title: 'Data Scientist at Auxia'
canonical: 'https://feeny.ai/job/data-scientist-auxia-bengaluru-mz3bwh2cfzbr'
type: 'job'
last_seen: '2026-09-07'
---

# Data Scientist at Auxia

- **Company:** Auxia
- **Location:** Bengaluru, India
- **Work type:** onsite
- **Posted:** 2025-11-07
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/auxia/455cc067-0936-472a-ba4f-5cc28df1d73a

## Job description

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.

## About Auxia

## Company Overview
- **One-liner**: Auxia is the AI-native agentic marketing platform that enables enterprises to orchestrate hyper-personalized customer journeys in real time.
- **Entity Type**: Private (Series A)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2022
- **Founders**: Cole Stuart (Co-Founder), Asim Krishna Prasad (Co-Founder)

## Core Business
- **Primary industry**: Enterprise marketing technology / AI-powered personalization
- **Target customers**: B2B – large enterprises (Fortune 500, Global 2000) and high-growth brands
- **Mission / purpose**: Replace fragmented marketing execution with a single, learning system that compounds performance and makes every customer interaction more effective.

## Products & Services
- **Auxia Agent Studio**: AI marketing agents that research, plan, build, QA, and ship campaigns, orchestrating work across existing tools (Braze, Salesforce Marketing Cloud, etc.). Users describe playbooks in natural language; agents handle execution and approvals.
- **Auxia Decisioning**: Real-time 1:1 decision engine that ranks the next-best experience (content, offer, channel, timing) for each visitor, using ML feature stores, model libraries, and multi-model experimentation.
- **Data & Context**: Enterprise data unified from CRM, CDP, and data warehouses into a living context graph that updates every run, powering personalization without sharing customer data externally.

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Total funding – $47M (latest round: $23.5M Series A led by VMG Partners, April 2025). Over 200 billion automated decisions served.
- **Notable Investors / Partners**: VMG Partners, plus investors from prior rounds; customers include Atlassian, Comcast, The Guardian, NTT Docomo, Mercari.
- **Growth Signals**:
  - 93.6% headcount growth year-over-year (77 employees as of mid-2025).
  - Offices in Palo Alto, Bengaluru, and Tokyo.
  - SOC 2 Type II certified, GDPR compliant, enterprise-grade security.
  - Strong talent pipeline from Google, Meta, Lyft, Flipkart, and other top tech firms.

## Competitive Advantages
- **AI-native, continuously learning**: Unlike static campaigns, Auxia’s system compounds performance over every interaction, reducing the “reacquisition treadmill.”
- **Real-time, 1:1 personalization at scale**: Decision engine ranks next-best actions for every customer in real time, using enterprise data without training on customer data.
- **Agent-driven workflow**: AI agents automate months of data science and engineering work, allowing marketers to focus on strategy.
- **Privacy by design**: Customer data is never used to train external models; compliant with SOC 2, GDPR.

## Strategic Focus
- Replace legacy campaign-based marketing with an agentic, autonomous decision-making platform.
- Expand enterprise adoption by deepening integrations (Braze, Salesforce, etc.) and adding new AI agents (e.g., AI Analyst Agent for revenue insights, announced July 2025).
- Continue rapid hiring across engineering, data science, go-to-market, and operations.

## Why Work Here
- **Culture & mission**: Fast-moving, customer-obsessed team that values “rapid execution and sharp decision-making.” Team includes alumni from Google, Meta, and Lyft.
- **Work model**: Hybrid – offices in Palo Alto (HQ), Bengaluru, and Tokyo. Employees engage in a mix of remote and on-site work; specific on-site expectations vary by role.
- **Growth & impact**: Join a company that more than doubled headcount in a year, working on a platform serving 200B+ decisions for major global brands. Opportunities to shape the product and culture from an early stage.
- **Perks**: Not detailed publicly, but the company emphasizes learning, autonomy, and a supportive environment for builders.

## Sources
1. [auxia.io/about-us](https://www.auxia.io/about-us)
2. [auxia.io](https://www.auxia.io/)
3. [linkedin.com/company/auxia-io](https://linkedin.com/company/auxia-io)
4. [builtin.com/company/auxia](https://builtin.com/company/auxia)
5. [jobs.lever.co/auxia](https://jobs.lever.co/auxia)

## Other roles at Auxia

- [Growth & Strategy Lead, Office of the CEO](https://feeny.ai/job/growth-strategy-lead-office-of-the-ceo-auxia-palo-alto-bhjsb4e4xfsa) — Palo Alto, CA
- [AI Product Manager](https://feeny.ai/job/ai-product-manager-auxia-palo-alto-5q76hbs0cah0) — Palo Alto, CA
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-auxia-palo-alto-fqpeek0ctbne) — Palo Alto, CA
- [Staff Software Engineer](https://feeny.ai/job/staff-software-engineer-auxia-bengaluru-tpmrkbrt6q0k) — Bengaluru, India
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-auxia-tokyo-1xp4hymcpv3n) — Tokyo, Japan
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