Data Scientist

LTIMindtree is looking for Lead Data Scientist

Responsibilities

Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance

Assess the effectiveness and accuracy of new data sources data gathering and forecasting techniques

Develop custom data models and algorithms to apply to data sets and run proof of concept studies

Leverage existing Statistical and Machine Learning tools to enhance inhouse algorithms

Collaborate with software engineers to implement and test production quality code for AIML models

Develop processes and tools to monitor and analyze data accuracy and models performance

Demonstrate software to customers and perform value proving benchmarks Calibrate software for customer needs and train customer for using and maintaining software

Resolve customer complaints with software and respond to suggestions for enhancements

Required Qualifications

Advanced Degree in Statistics Operations Research Computer Science Mathematics or Machine Learning

Proven ability to apply modeling and analytical skills to realworld problems

Knowledge of machine learning techniques clustering decision tree learning artificial neural networks etc and statistical concepts regression properties of distributions statistical tests etc

Solid programming skills 23 languages out of R SQL Python TensorFlow PySpark Java JavaScript or C

Absolutely must have graduate school level knowledge of Revenue Management models and algorithms

Experience minimum 4 out of 7 with deployment of machine learning and statistical models on a cloud

1 MLOps within the enterprise CICD process for ML models 2 years

2 Experience deploying ML APIs in production environments in GCP using GKE 2 years

3 Experience in using GCP Vertex AI for ML and BigQuery 1 year

4 Knowledge in Terraform and Containers technologies 2 years

5 Experience writing data processing jobs using GCP Dataflow and Dataproc 2 years

6 Experience setting up ML model monitoring and autoscaling for ML prediction jobs 1 year

7 Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store Artifacts Registry and Analytics Hub 1 year

Desirable Qualifications

Familiarity with airline hospitality or retailing industries and decision support systems employed there

Experience developing customer choice models price elasticity estimation and market potential estimation

Understanding of airline distribution pricing revenue management NDC and OfferOrder Management concepts