Data Scientist (Convex Optimization)

Eizen AI | Hyderabad, India & Atlanta, GA, USA | Full-Time | Hybrid/Remote

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 PhD-level researcher 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 Chalenges:

• 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:

• 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
• Strong 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
• $4M+ ARR with strong product-market fit
• 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: ( ) or Fill-up the form:

Please include:

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

Subject Line: \"Research Scientist - Optimization | (Your Name)\"

Interview Process:

• Technical Screening (45 min) - Optimization fundamentals and problem formulation
• Deep Dive (90 min) - Whiteboard session on multi-objective optimization design
• System Design (60 min) - Production ML architecture for pricing at scale
• Leadership & Communication (45 min) - Stakeholder management and team leadership
• 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.

#MachineLearning #Optimization #ConvexOptimization #ReinforcementLearning #PricingOptimization #RetailAI #DataScience #PhD #AppliedScience #MultiObjectiveOptimization #ConstrainedOptimization #MLOps #PyTorch #Databricks

Learn more: | Locations: Bangalore, Hyderabad India | Atlanta, GA, USA