Top Tech Jobs & Startup Jobs

Leads strategy, innovation, commercialization, and performance for a complex Member’s Mark product portfolio. Develops high-performing teams, influences senior stakeholders, and partners with merchandising, sourcing, quality, operations, and suppliers. Translates member insights, market trends, and business priorities into differentiated products while balancing quality, value, cost, speed to market, and financial outcomes. Drives transformation, operational excellence, continuous improvement, and organizational capability building.

Develop and maintain full-stack web applications, REST APIs, application services, automation, and automated tests. Retrieve and process data with SQL and Elastic DSL, debug application issues using logs and system metrics, refactor legacy code, estimate and track technical tasks, and support front-end and back-end development.

Leads integration between Customer Growth and Walmart Marketing by translating customer priorities into coordinated CRM, lifecycle, media, creative, promotional, and communications plans. Aligns campaigns, channels, roadmaps, and customer touchpoints while partnering with eCommerce, Product, Merchandising, Operations, and Analytics. Uses customer insights and performance data to guide recommendations, improve launch readiness, and advance growth frameworks across a complex organization.

Staff Data Scientist leading product analytics for Walmart discovery experiences, including home page, navigation, deals, and recommendations. Responsibilities include customer behavior analysis, metric development, large-scale A/B testing, causal inference, experiment readouts, SQL and Python-based analytical pipelines, ML-aware diagnostics, and stakeholder influence. The role partners with Product, Engineering, Business, UX, and Data Science teams to shape product strategy and improve customer experience.

Manages strategic client accounts and delivers revenue through quantitative and qualitative market research projects. Leads research design, questionnaire development, data collection, analysis, storytelling, quality control, and client presentations. Builds long-term relationships, conducts research planning workshops, identifies and sells solutions, supports account growth and renewals, and shares client and market insights to improve products. Requires strong communication, data visualization, research technology, and cross-functional collaboration skills.

Leads complex fraud and risk analytics investigations by forming hypotheses, analyzing enterprise data, evaluating evidence, and communicating defensible findings. Builds scalable detection, automation, and AI solutions to identify emerging risks, quantify exposure, and reduce manual investigative effort. Partners with investigators, legal teams, and senior stakeholders, while mentoring analysts and establishing analytical methodologies.

Leads development of Walmart’s Spark mobile applications for last-mile delivery, building scalable Android and iOS experiences and platform capabilities. Responsibilities include mobile development, system design, coding, testing, deployment, monitoring, maintenance, cloud-native architecture, AI/ML integration, DevOps, software security, technical leadership, mentorship, and cross-functional collaboration. The role also drives data-informed continuous improvement and architectural quality.

Build and productionize end-to-end ML solutions for Walmart Marketplace. Own MLOps lifecycle, develop scalable training/inference/monitoring pipelines, apply SRE principles, build Kafka logging pipelines, mentor engineers, and align models with business goals.

Design, build, and maintain high-performance, scalable Java backend services and microservices for Walmart's catalog platform. Troubleshoot production issues, perform root-cause analysis, mentor junior engineers, work in agile teams, and contribute to cross-functional projects while leveraging cloud, CI/CD, NoSQL, and generative AI/ML technologies.

Senior Data Scientist will design, validate, and deploy scalable ML models (recommendation systems, NLP), source and ensure data quality, assess model performance, produce visualizations, collaborate with stakeholders, and mentor junior team members to deliver data-driven solutions that optimize business outcomes.