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9 open listings
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
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.
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 ↗
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
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
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 ↗
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 ↗
impact.com
3 locations · $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 ↗
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
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 ↗