Lead a team of data scientists to build retrieval and ranking models for The Home Depot’s e‑commerce search engine, leveraging LLMs and advanced analytics to enhance the shopping experience.
Compensation
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $140,000.00 - $280,000.00
Responsibilities
Provide leadership, mentorship and coaching to direct reports
Support Data Science Director in establishing vision and influencing business partners
Attract, retain and develop top talent
Develop onboarding and training plans
Foster collaboration and alignment between data science roles
Requirements
Bachelor's degree in a related field
Nice to have: 11+ years business intelligence and analytics
Nice to have: people or project team management experience
Provide support to food service activities at Olathe West High School, assisting and overseeing staff, managing food preparation, inventory, and compliance with health standards.
Compensation
HOURLY PAY: $18.50 high school
Responsibilities
Assists scheduling assignments and work hours for Food Service Staff
Climatizes newly hired employees to work center and school site processes
Completes and documents transactions, processes receipts, and prepares bank deposits
Evaluates prepared food for appearance, flavor, and temperature
Implements menu plans meeting students mandated daily nutritional requirements
Requirements
High School Diploma or equivalent
Nice to have: Restaurant or retail management experience
Lead Data Scientist responsible for creating recommendation and personalization solutions for Peacock Video Streaming Service.
Compensation
Salary range: $145,000 - $175,000 (bonus and long-term incentive eligible).
Responsibilities
Work with a group of data scientists in the development of recommendation and personalization models using statistical, machine learning and data mining methodologies.
Drive the collection and manipulation of new data and the refinement of existing data sources.
Translate complex problems and solutions to all levels of the organization.
Collaborate with software and data architects in building real-time and automated batch implementations of data science solutions and integrating them into the streaming service architecture.
Drive innovation of the statistical and machine learning methodologies and tools used by the team.
Principal Product Manager to identify and build the next generation of content products and reusable intelligence systems, focusing on AI-native products and personalized intelligence for enterprise workers.
Compensation
The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Responsibilities
Own the vision and strategy for new content intelligence products, identifying unmet customer needs and technology shifts.
Build enterprise content intelligence as the first product focus, including personalized company and industry briefings, watchlists, and experiences.
Translate capabilities across user understanding, knowledge graphs, content agents, ranking, quality, and interactive components into coherent, reusable product systems.
Lead rapid customer discovery, prototyping, and experimentation to find product-market fit.
Partner deeply with design, engineering, applied science, editorial, and canvas product teams to integrate new products into Edge, Windows, MSN, and Copilot.
Requirements
Bachelor's Degree
Nice to have: 15+ years experience in product management
Nice to have: enterprise intelligence
Nice to have: knowledge products
Nice to have: content products
Skills
Vetco Clinic Advisor ND
Petco Health and Wellness Company, Inc. · Posted Nov 9, 2026
The total cash range for this position in San Jose is $249,000.00 to $348,500.00. Employees in this role have the potential to increase their pay up to $398,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Set the architectural vision, design, and delivery approach for complex software solutions across multiple technical domains, enabling AI and machine learning powered loyalty offers and experiences
Drive system design, API development, and data modeling so our platforms remain secure, maintainable, and able to perform at scale
Take on the most technically demanding problems across the loyalty experience ecosystem, stepping in where existing solutions fall short and closing critical gaps
Mentor and raise the bar for engineering teams, fostering technical excellence and encouraging genuine innovation across projects and domains
Elevate and simplify, always keeping the underlying business problem and customer metrics in view rather than treating architecture as an end in itself
Requirements
Bachelor's degree in Computer Science or a related technical field
Data Scientist responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience within the supply chain domain.
Responsibilities
Design and develop algorithms and models to use against large datasets to create business insights
Serve as a technical lead for analytics projects
Lead small projects and work independently on solution development
Execute tasks with high levels of efficiency and quality
Select, utilize and interpret advanced analytical methodologies
Requirements
Bachelor's degree in a quantitative field (Computer Science, Math, Statistics, etc.)
Nice to have: Masters in a quantitative field
Nice to have: 4+ years of experience in business intelligence and analytics
Lead applied data science and machine learning projects across Europe and the US, owning end-to-end ML solutions for automotive parts software.
Responsibilities
Work on search and ranking, classification and matching, forecasting, customer and partner analytics, anomaly detection, LLMs and agents, A/B testing, recommendation engines
Build and deploy models in production, including feature pipelines, training pipelines, deployment, drift monitoring, and retraining
Measure impact with offline evaluation, shadow mode, A/B tests, and causal methods
Present results and tradeoffs to product and business stakeholders
Assistant Cafeteria ManagerNewOlathe Public Schools · Olathe, US
Retail Sales Associate Mufreesboro NorthfieldSun Tan City - Dual Leverage Group · Murfreesboro, US