Senior Data Scientist

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Senior Data Scientist Application Form

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Job Description

Role: Senior Data Scientist

Function: Data Science

Location: Hyderabad

Type: Full-time

Industry: Travel Technology

About Company

An AI-powered travel technology company connecting 500+ airlines and 1 million hotels through an intelligent marketplace. The company serves 125 million global travelers with AI assistant Abhi, processing 50+ million daily searches.

A well-funded revenue-stage company with 1,300 employees operating across a network of 65,000 travel agents and influencers. The company is redefining travel technology and creating opportunities for ownership in the rapidly evolving AI-first travel industry.

Position Overview

You'll lead end-to-end data science initiatives that directly impact millions of travelers through AI-powered travel technology. You'll translate complex business problems into scalable ML solutions, working closely with product, engineering, and business teams. You'll build production-ready systems that drive measurable business outcomes in a fast-paced, growth-oriented environment with cutting-edge ML technologies.

Role & Responsibilities

  • Own and lead complete data science projects from problem formulation to production deployment and monitoring
  • Design, develop, and deploy machine learning models for prediction, forecasting, classification, and recommendation systems
  • Build and optimize feature engineering pipelines working with structured and unstructured datasets at scale
  • Collaborate with data engineers to create scalable ML pipelines using MLOps best practices
  • Deploy models to production environments and establish monitoring frameworks with performance metrics
  • Conduct advanced exploratory data analysis and communicate insights through dashboards and presentations
  • Mentor junior data scientists and document methodologies for knowledge sharing across teams

Must Have Criteria

  • 5-8 years of hands-on experience in Data Science or Machine Learning with production deployments
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
  • Experience working with large-scale datasets (100K+ records) and building models for high-volume systems
  • Strong proficiency in Python (NumPy, Pandas, SciPy) and SQL for data manipulation and analysis
  • Proven experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch, XGBoost)
  • Experience building and deploying ML models in cloud environments (AWS, Azure, or GCP)
  • Hands-on experience with MLOps tools and practices including experiment tracking and model monitoring

Nice to Have

  • Hands-on experience with recommendation systems or dynamic pricing models
  • Experience with Apache Spark (PySpark) and workflow orchestration tools like Airflow
  • Background in NLP and working with large language models or transformers
  • Experience mentoring junior team members and leading cross-functional data science initiatives

What We Offer

  • Opportunity to impact millions of travelers through AI-powered travel technology
  • Work with cutting-edge ML technologies in a fast-paced, growth-oriented environment
  • Collaborate with strong technical teams and gain ownership of high-impact projects
  • Competitive compensation package with growth opportunities in a well-funded company
  • Be part of redefining the travel industry with innovative AI-first solutions

Apply Now

Share your details below to apply for this job.

Enter a number between 0 and 1000
Enter a number between 0 and 1000
Enter a number between 0 and 120
Are you currently on notice period?

Accepted formats: .doc, .docx, .pdf, .png, .jpeg, .jpg

Maximum file size: 20MB

By submitting this application, you acknowledge and consent to the use of artificial intelligence (AI) technologies in the recruitment process, including but not limited to resume screening, candidate assessment, and interview facilitation. Your application data may be processed by AI systems to evaluate your qualifications. You have the right to request human review of any AI-assisted decisions.