Apply Here: https://forms.office.com/r/y9JFDDEZqX

Sr. Data Scientist (Operations Research)

(immediate Joiners)

Join Eizen AI to build production-scale Multi-Agent Reinforcement Learning systems that optimize pricing and promotions across thousands of SKUs for Fortune 500 retailers. This is a rare opportunity to deploy cutting-edge optimization research in real-world business environments where your models directly impact revenue decisions for major retail chains.

We're looking for a Data Scientists with deep expertise in convex and multi-objective optimization who can bridge theoretical rigor with scalable ML systems that handle real-world business constraints.

About Eizen

Eizen AI is agentic AI platform serving Fortune 500 clients across manufacturing, retail, healthcare, and robotics. We're expanding our AI capabilities into intelligent pricing and revenue optimization.

Founded by a PhD in Cognitive Robotics from IIT Kanpur with 18+ years of AI/ML leadership, we combine academic rigor with enterprise-grade execution. We're expanding to Atlanta, GA as part of our US growth strategy.

What You will Build

Core Responsibility: Lead the technical architecture and research for our next-generation pricing optimization platform powered by constrained multi-objective learning.

Your Impact

- Design and deploy role-based Multi-Agent RL systems for pricing optimization across 10,000s of SKUs
- Formulate complex business problems as constrained optimization problems integrating regulatory, operational, and relationship constraints
- Solve sparse data challenges using causal inference, transfer learning, and counterfactual reasoning
- Build production ML systems on Databricks/MLflow handling real-time pricing recommendations
- Lead technical teams through complex implementations while communicating with business stakeholders
- Drive research roadmap balancing academic innovation with commercial deployment

Technical Challenges:
- Multi-objective optimization with competing business goals (revenue, margin, volume, market share)




- Handling sparse transaction data and cold-start problems for new products
- Integrating hard business constraints (price floors/ceilings, competitive relationships, brand equity)
- Real-time inference at scale with constraint satisfaction
- Explainability and interpretability for merchant decision support

What You Bring:

Required

Education & Experience:
- MS or PhD in Machine Learning, Computer Science, Operations Research, or related field (or Masters with exceptional experience)
- 5+ years applying constrained optimization, multi-objective learning, or decision-focused learning in production

Technical Mastery:
- Deep expertise in convex optimization, Pareto optimization, constraint handling
- Expert-level Python, PyTorch/TensorFlow for large-scale ML systems
- Production experience with Databricks, MLflow, or similar ML platforms
- Solid mathematical problem formulation and optimization algorithm design

Domain Knowledge:
- Retail pricing, revenue management, or similar business optimization problems
- Understanding of elasticity modeling, cannibalization, promotion optimization
- Experience integrating business constraints into ML systems

Leadership:
- Track record of leading technical teams through complex system implementations
- Ability to communicate advanced ML concepts to non-technical stakeholders
- Experience with stakeholder management in enterprise/retail environments

Highly Valued:
- Publications in NeurIPS, ICML, INFORMS, or related venues on optimization topics
- Experience with causal inference, experimental design, A/B testing in pricing contexts
- Background in multi-armed bandits, contextual bandits, or RL for business applications
- Previous work at pricing platforms (PROS, Blue Yonder,



Revionics) or retail data science teams
- Knowledge of sparse learning, meta-learning, or few-shot learning approaches

Why Join Eizen AI:

Technical Ownership

- Define the architecture for our optimization platform from ground up
- Lead research direction with direct influence on product roadmap
- Work on real-world problems with immediate business impact

Elite Team:
- Collaborate directly with CEO (PhD, IIT Kanpur) and technical leadership
- Build and mentor a world-class optimization team
- Shape engineering culture as an early technical leader

Growth & Impact:
- Fortune 500 clients across retail, manufacturing, healthcare
- Ground-floor opportunity in Atlanta expansion (US market)

Flexibility:
- Hybrid/remote work options
- Locations: Hyderabad or Atlanta
- Competitive compensation + meaningful equity

Python | PyTorch/TensorFlow | Databricks | MLflow | Docker/Kubernetes | PostgreSQL/TimescaleDB | Apache Airflow | FastAPI Send your application to: [[email protected]] or Fill-up the form: https://forms.office.com/r/y9JFDDEZqX

Please include

1. CV highlighting relevant publications and production ML deployments
2. Brief description (200-300 words) of your most impactful optimization project
3. Links to publications, GitHub, or technical blog posts (if available)

Subject Line: "Research Scientist - Optimization | [Your Name]"

Interview Process

1. Technical Screening (45 min) - Optimization fundamentals and problem formulation
2. Deep Dive (90 min) - Whiteboard session on multi-objective optimization design
3. System Design (60 min) - Production ML architecture for pricing at scale
4. Leadership & Communication (45 min) - Stakeholder management and team leadership
5. Founder Round (30 min) - Vision alignment and growth trajectory

Eizen AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Learn more: www.eizen.ai | Locations: Bangalore, Hyderabad India | Atlanta, GA, USA

📌 Senior Data Scientist (Operations Research) (Bengaluru)
🏢 Eizen
📍 Bengaluru