Job Responsibilities

Build and maintain mathematical optimization models — objective functions, constraints, and penalty calibration
Encode and validate business rules, contract parameters, and operational constraints into model inputs
Execute regression testing and model health checks before and after every production run
Conduct scenario and sensitivity analysis with documented trade-offs and business recommendations
Validate all input files pre-run — NULL checks, format errors, anomalies, and data readiness sign-off
Monitor data pipeline health, audit logs, and ingestion failures across recurring run cycles
Perform data quality assessments — missingness, outliers, duplicate records, and consistency checks
Validate model outputs and savings calculations — ensuring mathematical accuracy and business defensibility
Review compliance and performance tracking — compare actuals vs recommendations and document deviations
Review output files for anomalies and formatting issues before stakeholder delivery
Support recurring run preparation — scenario setup, input file review,



and run orchestration
Triage platform issues — classify severity, gather diagnostics, and escalate with clear context
Monitor cloud pipeline health — ingestion, compute, and delivery layer checks
Maintain run logs, SOPs, runbooks, and knowledge base in structured auditable format
Partner with business stakeholders to explain model outputs and recommendations in plain language
Mentor junior team members on best practices, coding standards, and documentation discipline

Required Skills

3–8+ years experience in Data Science / Operations Research.
Hands-on experience with optimization solvers — CPLEX and OR-Tools.(Operation Research Tools)
Python — modeling, data validation, automation scripting, production-quality coding
SQL — data querying, pipeline monitoring, audit log review
Cloud platform experience — AWS or equivalent
Robust documentation and stakeholder communication skills

Preferred Skills

Pip

📌 AI/ML/Gen AI Engineer (Bengaluru)
🏢 Ascendion
📍 Bengaluru