Data Scientist Jobs

About The Position

Requirements

• Bachelor’s degree or higher in Statistics, Economics, Computer Science, Data Science, or a related quantitative field
• 6–8+ years of professional experience in data science, applied science, or analytics roles
• Proven experience developing and deploying ML and statistical models for real-world business problems at scale
• Deep expertise in statistics, applied data analysis, and experimentation design
• Strong experience designing, executing, and interpreting A/B and causal experiments, including identifying confounders and limitations
• Advanced proficiency in SQL and experience working with large-scale datasets using Spark or DatabrDatabricks
• Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow or MxNet
• Experience working with modern deep learning architectures, such as Transformers/BERT, DCN, GNNs, GANs, or diffusion models
• Excellent communication skills, with the ability to influence decisions and clearly explain complex analyses to senior technical and non-technical stakeholders

Nice To Haves

• Significant experience working on advertising or marketplace systems, including ad delivery, auctions, bidding, ranking, or pricing
• Applied experience with ML models used in ads, such as CTR/CVR prediction, ranking, or optimization models
• Strong understanding of auction mechanics (first-price vs. second-price, pacing, budget constraints) and marketplace dynamics
• Experience with incrementality measurement, causal inference, and policy evaluation in production environments
• Ability to mentor junior data scientists, set analytical standards, and review others’ work
• Background in ads, marketplaces, e-commerce, or travel platforms

Responsibilities

• Develop and deploy advanced machine learning models to solve complex business challenges and drive data-informed decision making.
• Analyze large-scale datasets and design robust experiments to uncover actionable insights and optimize Expedia Group’s products and services.
• Collaborate with cross-functional teams to architect and implement end-to-end data pipelines and intelligent systems that operate at production scale.
• Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.
• Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable.
• Apply expertise in AI-driven systems, tools, or workflows, and leverage AI/ML concepts to deliver impactful real-world products across multiple domains.

Benefits

• medical/dental/vision
• paid time off
• Employee Assistance Program
• wellness & travel reimbursement
• travel discounts
• International Airlines Travel Agent (IATAN) membership