Data Scientist

SiteMinder
Pune
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Problem-solving","Teamwork"]

Data Scientist role focused on building and scaling ML solutions for a hotel commerce platform. You’ll design end-to-end models, collaborate with engineering/product teams, and implement scalable pipelines using Databricks, PySpark, and Delta Lake, while running controlled experiments and operationalising models with MLOps best practices.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SiteMinder
SiteMinder
4 months ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 56 minutes agoStatus: Live
Reposted: similar role first listed 10 months ago

Job Summary

Data Scientist role focused on building and scaling ML solutions for a hotel commerce platform. You’ll design end-to-end models, collaborate with engineering/product teams, and implement scalable pipelines using Databricks, PySpark, and Delta Lake, while running controlled experiments and operationalising models with MLOps best practices.
Location: Pune
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and develop end-to-end ML solutions — from data exploration and feature engineering to model training, validation, and deployment.
  • •Collaborate cross-functionally with engineers, analysts, and product teams to integrate predictive and recommendation models into customer-facing and internal applications.
  • •Implement scalable ML pipelines using Databricks, PySpark, and Delta Lake, ensuring reproducibility, performance, and maintainability.
  • •Run controlled experiments (A/B tests, uplift modelling, causal inference) to measure model performance and quantify business impact.
  • •Operationalise models through CI/CD and MLOps best practices, including model versioning, monitoring, retraining strategies, and governance.

Pay and Benefits

Perks:Health InsuranceParental LeaveVolunteering LeaveBirthday LeaveHybrid Model

Key Requirements

  • •Extensive hands-on experience applying machine learning and statistical modelling in production or product-oriented environments.
  • •Proven understanding of the full spectrum of ML techniques—from traditional models to modern deep learning architectures.
  • •Demonstrated ability to design scalable ML pipelines and automate workflows with MLOps tools (MLflow, Kubeflow, Databricks ML runtime, AWS Sagemaker, or AWS Bedrock).
  • •Preferred experience in Python, with proficiency in Scikit-learn, Autogluone, PyTorch or TensorFlow, and PySpark MLlib.
  • •Familiarity with retrieval-augmented generation (RAG) and fine-tuning of large language models is a plus.
Experience:Data scienceSaaSHotel tech
Skills:CommunicationProblem-solvingTeamwork
Tech Stack:DatabricksPySparkDelta LakeMLflowKubeflowPythonScikit-learnPyTorchTensorFlowPySpark MLlibSQL

Company Brief

SiteMinder
Provides a cloud-based platform for hotels and accommodation providers to manage online distribution, bookings, and direct bookings through channel management, booking engines, and integrations with OTAs and property management systems.
Industry: TravelTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Sydney, Australia
Founded: 2006
WebsiteLinkedIn