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XGBoost

Data Science, Analytics and AI/ML

XGBoost (Extreme Gradient Boosting) is an open-source machine learning library that implements optimized gradient boosted decision trees, prized for speed and performance on structured/tabular data. It is heavily used by data scientists and machine learning engineers in competitions (notably Kaggle) and production systems for classification, regression, and ranking tasks.

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XGBoost in the job market

Last checked September 12, 2026

Open roles
9

on Career App right now

Employers
9

hiring for it

Median pay

not enough disclosed

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of these roles

Open roles requiring XGBoost (9)

Forward Deployed Principal Data Scientist

SAP

Full-time · New York, NY · $176,300 – $374,200

This role embeds you directly in customer environments as a principal-level data scientist applying advanced ML and statistical techniques to solve enterprise challenges. You'll lead complex analytical projects from problem framing through production deployment, working closely with stakeholders to deliver measurable business impact across SAP's customer base.

Listed on SAP’s careers site · Apply there ↗

Visa Inc.

Senior Manager, Data Science

Visa Inc.

Full-time · US - Foster City, CA · $180,600 – $289,300

Lead a data science team at Visa building machine learning and AI products for dispute resolution and post-purchase payments. This role suits experienced managers comfortable with both hands-on technical leadership and cross-functional strategy in a global, heavily regulated environment.

Listed on Visa Inc.’s careers site · Apply there ↗

Senior Machine Learning Engineer

Warner Bros. Discovery

Full-time

Warner Bros. Discovery seeks a senior machine learning engineer to design and own production ML systems powering identity resolution, audience targeting, and personalization across their streaming platforms. This role bridges technical leadership and hands-on modeling work, requiring someone comfortable mentoring globally distributed teams while driving architectural decisions for flagship products serving hundreds of millions of viewers.

Listed on Warner Bros. Discovery’s careers site · Apply there ↗

The Home Depot

Senior Data Scientist, Delivery

The Home Depot

Atlanta, GA

Home Depot seeks a senior data scientist to build machine learning models and systems that improve their delivery operations, working across solution development, team leadership, and business strategy. This role suits someone with substantial ML experience who can move models from prototypes to production while mentoring junior staff and collaborating with business partners.

Listed on The Home Depot’s careers site · Apply there ↗

Norwegian Cruise Line

Senior Decision Science Developer, Revenue Management Systems

Norwegian Cruise Line

Miami, FL

This role builds machine learning models and forecasting systems that optimize cruise line pricing and inventory management using large-scale datasets. It's suited to someone with 3–5 years of quantitative modeling experience who enjoys translating complex data into revenue-driving business decisions.

Listed on Norwegian Cruise Line’s careers site · Apply there ↗

Apply for Staff Machine Learning Engineer at Taskrabbit on their site

Staff Machine Learning Engineer

Taskrabbit

Full-time · San Francisco, CA · $170,000 – $225,000

Taskrabbit is seeking a Staff Machine Learning Engineer to own and architect their core ranking system, which determines how jobs are matched to Taskers across the platform. The role combines hands-on technical work with mentorship and cross-functional leadership, ideal for someone with deep production ML experience who thrives as a system architect and team multiplier.

Listed on Taskrabbit’s careers site · Apply there ↗

Sr. Data Scientist, Programmatic Algorithms

impact.com

New York, NY · $165,000 – $185,000

This role involves designing and deploying machine learning models to optimize pricing, yield, and inventory allocation in a programmatic advertising marketplace. It suits experienced ML engineers and data scientists who thrive on full-stack ownership, from data pipelines and feature engineering through production inference and experimentation, and who understand marketplace economics alongside statistical rigor.

Listed on impact.com’s careers site · Apply there ↗

Senior Data Scientist

Haystack News

Fort Lauderdale Office · Remote

Haystack News seeks a senior data scientist to build statistical and machine learning models that improve content discovery and user engagement on their streaming news platform. This role combines advanced analytics, causal inference, and A/B testing to drive measurable improvements in a product used by tens of millions of viewers.

Listed on Haystack News’s careers site · Apply there ↗

Intuit

Senior Staff AI/MLE Scientist

Intuit

Mountain View, CA · $203,000 – $284,500

Lead machine learning systems from end-to-end—feature pipelines, model training, deployment, and monitoring—for a consumer platform that processes millions in business value. This role suits a seasoned ML engineer who can set technical standards, mentor teammates, and evolve shared infrastructure while directly shipping models that drive measurable impact.

Listed on Intuit’s careers site · Apply there ↗

Asked for alongside XGBoost

Measured from the 9 open roles that name XGBoost — not from a curated list.

Employers hiring for XGBoost

9 in total, most open roles first.

Related skills

Curated neighbors in the taxonomy, whether or not employers ask for them together.

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