Data Scientist - Operations Research

Role: Data Scientist

Location: Bengaluru, India

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.

Required Skills:

- Hands-on 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.