# Data Scientist

## Summary
- Organization: Ascendion 
- Location: Bengaluru, Karnataka, India
- Type: Full-Time
- Department: N/A
- Status: active
- Posted: [object Object]
- Updated: [object Object]
- Closing Date: N/A
- External Apply: Yes
- External Apply URL: https://jobs.ascendion.com/careers/job/1970324837466386

## Details
- Salary: N/A
- Experience: N/A
- Education: N/A
- Team: N/A
- Reporting To: N/A

## Description
**About the job
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

Strong documentation and stakeholder communication skills

**Preferred Skills**

Pipeline orchestration tools — Dataiku, Airflow, or equivalent

Containerization — Docker and Kubernetes

REST API development — FastAPI or equivalent

Open-source solver experience — PuLP, OR-Tools

Domain knowledge in logistics, supply chain, or network optimization

Cloud certification — AWS

## Responsibilities
None

## Skills
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## Tags
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## Organization
- Name: Ascendion 
- Website: https://ascendion.com/
- Industry: Technology, Information and Internet
- Size: 10,001+ employees
- Founded Year: 2022
- Description: Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com.

 

Engineering to the Power of AI™, AAVA™, EngineeringAI, Engineering to Elevate Life™, Enterprise PlatformsAI, Data & InsightsAI, ExperienceAI, GCCAI, OperationsAI, Platform EngineeringAI, ProductAI, and Quality EngineeringAI are trademarks or service marks of Ascendion®. AAVA™ is pending registration. Unauthorized use is strictly prohibited.