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ClosedPosted 262 days ago

Senior Data Scientist-R31631

ScaleneWorks INC

Where
Bangalore

This posting closed on 2026-10-23.

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This job: posted 262 days ago

The posting

Senior Data Scientist in Offer Optimization

## Company Overview Information not provided.

## Job Summary As a Senior Data Scientist in Offer Optimization, you will play a critical role in designing and developing advanced models for Dynamic Pricing and Revenue Management applications. The position encompasses building real-time optimization algorithms, managing large-scale data pipelines, and utilizing machine learning techniques to maximize airline revenue. You will engage in innovative solutions within a highly competitive domain, merging data science, engineering, and research to achieve significant business outcomes.

## Responsibilities - Analyze specifications and define user requirements for software solutions. - Design and develop technical solutions, perform feasibility studies, and propose effective workarounds. - Develop software in compliance with relevant standards and guidelines. - Data Engineering Activities: - Acquire datasets aligned with business needs. - Design, develop, and maintain optimal data pipeline architectures. - Implement data validation methods and tools to ensure quality and reliability. - Ensure compliance with data governance and security policies. - Data Science Activities: - Train and calibrate machine learning models for different customers. - Define Key Performance Indicators (KPIs) and measure model performance. - Conduct data mining, analysis, and research to enhance algorithms. - Industrialize and implement prototypes into production. - Conduct unit, package, and performance tests to maintain quality standards. - Support customers by investigating model results and providing functional expertise. - Prepare documentation such as feasibility studies, solution overviews, and technical specifications.

## Qualifications - Expertise in machine learning and data science practices. - Proven experience with data pipeline architecture and data engineering activities. - Strong programming skills in languages such as Python, R, or similar. - Knowledge of data governance and security policies. - Experience in training and calibrating machine learning models. - Ability to design and develop technical solutions effectively. - Background in conducting data mining and analysis for algorithm enhancement. - Educational qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

## Preferred Skills - Familiarity with cloud platforms (e.g., AWS, Google Cloud) for data storage and processing. - Experience with big data technologies (e.g., Hadoop, Spark). - Understanding of advanced statistical methods and their applications in business. - Knowledge of airline industry standards and practices.

## Experience - Minimum 5 years of relevant experience in data science, data engineering, or a related field preferred.

## Environment Information not provided.

## Salary Information not provided.

## Growth Opportunities Information not provided.

## Benefits Information not provided.

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