XGBoost

Known

New York, NY · $140,000 – $170,000 · Remote

Lead a data science team at a firm where analytics expertise meets creative strategy, managing client engagements in marketing analytics and AI while mentoring analysts and driving new business. This role suits experienced data scientists who want to grow into leadership, bridge technical and strategic thinking, and work in a collaborative environment that values both rigor and innovation.

Listed on Known’s careers site · Apply there ↗

SentiLink

Full-time · United States · $210,000 – $260,000 · Remote

Lead a team of applied ML scientists building fraud detection and identity verification models for a growing fintech company serving major US banks. This role is ideal for an experienced manager who stays deeply technical, comfortable owning the full ML lifecycle from data strategy through production deployment and eager to shape both product direction and AI safety practices.

Listed on SentiLink’s careers site · Apply there ↗

Pepperidge Farm

Full-time · Camden, NJ · $109,400 – $150,400

Campbell's is seeking a hands-on senior data scientist to build and deploy machine learning and statistical models that drive business impact across supply chain, marketing, finance, and R&D. The role combines individual technical contribution with mentorship of junior team members and collaboration with cross-functional stakeholders to translate complex data challenges into production-ready analytics products.

Listed on Pepperidge Farm’s careers site · Apply there ↗

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 ↗

Mastercard

Full-time · Salt Lake City, UT · $140,000 – $231,000

Lead a data science team at Mastercard's Finicity division, building machine learning models for financial applications like transaction classification and risk assessment. This role suits experienced data scientists who excel at both technical leadership and translating complex analyses for business stakeholders.

Listed on Mastercard’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

Staff-level machine learning engineer to own the architecture and reliability of Taskrabbit's core ranking system, which matches task requesters with Taskers. You'll define system direction, mentor junior engineers, and partner cross-functionally with product and data science teams on one of the company's most consequential ML systems.

Listed on Taskrabbit’s careers site · Apply there ↗

impact.com

New York, NY · $165,000 – $185,000

This role owns the design and deployment of machine learning models that optimize pricing, yield, and inventory allocation across a programmatic advertising marketplace. It suits experienced ML engineers who combine production ML expertise with deep understanding of auction mechanics and can operate end-to-end from data pipelines through real-time inference.

Listed on impact.com’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 ↗