Emerging Travel Group

Emerging Travel Group

Emerging Travel Group specializes in developing advanced online booking platforms that cater to a diverse clientele, including individual travelers, travel agents, and businesses, while also providing solutions that enhance the visibility of accommodat...

Consumer Services
251-1K
Founded 2010
$64M raised

Description

  • Define business problems and formalize machine learning objectives for pricing, forecasting, optimization, incident prioritization, and customer journey efficiency.
  • Lead machine learning projects end to end, from problem definition and modeling through piloting and presenting results.
  • Collaborate with data engineers to source required datasets and assess implementation feasibility.
  • Partner with analysts to design A/B tests, including metrics, experiment splits, and result interpretation.
  • Develop classical machine learning, deep learning, time series, and uplift modeling solutions.
  • Perform error analysis and evaluate model performance against relevant business and technical metrics.
  • Prepare models and code for handoff to production infrastructure while technical teams manage deployment and releases.
  • Own model quality, monitor key metrics, and collaborate on remediation and improvement plans when performance degrades.

Requirements

  • 3+ years of experience as a Data Scientist.
  • Demonstrated experience managing end-to-end machine learning projects.
  • Strong knowledge of classical machine learning, including feature engineering, classification, regression, and boosting.
  • Hands-on experience with uplift modeling and time series applications in real business contexts.
  • Experience working with business stakeholders on pricing, B2C, LTV, retention, A/B testing, and optimization problems.
  • Proficiency in Python for data science and machine learning, including clean, readable model and experiment code.
  • Confident SQL skills for dataset construction, joins, and data analysis.
  • Experience with MLflow or DVC, Airflow or similar pipelines, anomaly detection or anti-fraud, deep learning with PyTorch or TensorFlow, and model monitoring is preferred.

Benefits

  • Flexible working hours focused on results rather than fixed start times.
  • Choice of fully remote, office-based, or hybrid work.
  • Individualized onboarding, training, soft-skills, and leadership development programs.
  • Partial reimbursement for external training and conferences.
  • Company-sponsored English lessons, including group and individual classes and speaking clubs.
  • Corporate rates on hotels and other travel services.
  • MyTime Day Off for health, personal matters, mental recharge, or other important activities.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Fullstack Data Scientist - freelancer

Lingaro 5K-10K IT Services

Lead GenAI engineering initiatives by designing, building, evaluating, and governing production-ready AI applications and architectures for enterprise use cases.

Apache Spark AWS Azure CI/CD Databricks Docker Generative AI GitHub Actions GitLab Kubernetes Machine Learning Microservices Python
4 hours, 35 minutes ago

Senior/Lead Bioinformatics Scientist (Multi-Cancer Early Detection)

Natera 1K-5K Pharmaceuticals

Natera is hiring a Senior or Lead Bioinformatics Scientist to develop and clinically advance computational methods for detecting cancer from blood-based, multimodal genomic data.

Machine Learning Python
1 day, 5 hours ago

Senior Data Scientist, Systems Performance

Motional 1K-5K Automotive

Motional is seeking a Senior Data Scientist to improve the rigor, reliability, and scalability of performance evaluation for its autonomous driving system and support the launch of fully driverless IONIQ 5 robotaxis.

AWS Deep Learning Machine Learning MLOps Python SQL Transformers
1 day, 5 hours ago

Staff Machine Learning and Bioinformatics Scientist (Multi-Cancer Early Detection)

Natera 1K-5K Pharmaceuticals

Natera is seeking a Staff Machine Learning and Bioinformatics Scientist to develop and clinically validate machine learning methods for cancer detection using large-scale, multimodal genomic data from blood samples.

Deep Learning Machine Learning Python
1 day, 5 hours ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers