AI Supply Chain Specialist

Drive customer experience automation

Optimize business processes with AI solutions

Descriptive Analytics: Build and automate reporting dashboards, Analyze marketing campaign

ness; Diagnostic Analytics: Investigate factors influencing app rank position, Conduct ad-hoc

Provide technical leadership in data science

Develop and implement advanced analytics models

Drive cross-functional data initiatives

Collaborate with various teams to uncover insights

Analyze campaign data to optimize performance

Design and execute A/B tests for campaign validation

Initiate and drive applied science projects | Architect and deploy ML systems | Design and execute

xperiments | Analyze data | Technical

Optimizing marketplace dynamics through data science

Generating insights from AI and macroeconomic trends

Optimizing marketplace dynamics

Generating insights through data analysis

Hire a remote senior data scientist

Promote a flexible, location-independent role

Serve as a strategic advisor for enterprise clients

Orchestrate end-to-end deployments for customer value delivery

Advise clients on AI-driven workforce transformation

Design and deploy custom skills programs

- Develop statistical models and machine learning algorithms - Extract insights from complex

s - Optimize ecommerce operations - Drive data-driven business initiatives - Enhance user

Optimize iVisa's operations through data analysis

Enhance customer experiences using machine learning

Enhance medication management outcomes

Reduce costs for health plans

Build predictive models for Roblox game success

Develop and scale data-driven marketplace infrastructure

Build and scale predictive models for Roblox game success.

Develop and maintain robust data infrastructure.

Bridge data analysis with executive decision-making

Deliver actionable business insights from large datasets

Enhancing partner success through data-driven strategies

Creating high-impact learning experiences for skill-aligned outcomes

Hiring a Data Science Intern for Summer 2026

Remote internship position in the United States

Automate internal processes and workflows.

Build predictive models for retail media spend and ROI.

Develop and deploy predictive models for fraud prevention.

Collaborate with cross-functional teams for real-time solutions.

Develop and deploy predictive models for fraud prevention

Reduce false positives and automate fraud controls

Lead and grow a high-performing Data Science team

Develop quarterly roadmaps with cross-functional partners

Support pricing model development

Analyze experience and market dynamics

Lead client projects delivering insights aligned with goals

Collaborate with senior execs to identify analytics opportunities

Developing media mix models

Running and interpreting complex experiments

Own credit portfolio performance analysis

Develop and refine credit strategies

Design and build internal pricing service and data models for Python rating engines

Collaborate across engineering, pricing, and product to scale pricing platform

Scale user growth and retention using ML.

Collaborate with marketing and product teams.

Develop predictive models using statistical methods.

Visualize data effectively using various tools.

Apply statistical methods for insights.

Build and explain predictive models.

Review and recommend pricing revisions.

Enhance pricing models for objectives.

Lead and develop a data science team.

Create and implement quarterly roadmaps.

Define the architecture for the correctness layer.

Own and develop the core platform components.

Leverage statistical analysis to generate insights on talent themes.

Support development of data-driven models for proactive talent decisions.

Leverage statistical analysis for insights on talent themes.

Develop data-driven models for proactive talent decisions.

Leverage statistical analysis to generate insights on talent themes.

Support development of data-driven models for proactive talent decisions.

Leverage statistical analysis for insights on talent themes.

Develop and refine data-driven models for talent decisions.

Leverage statistical analysis for talent insights.

Support data-driven model development.

Leverage statistical analysis for insights on talent themes.

Analyze employee data to improve organizational performance.

Leverage statistical analysis for talent insights.

Support data-driven model development.

Generate insights on talent themes.

Develop and refine data-driven models.

Leverage statistical analysis for insights on talent themes.

Support data-driven model development for proactive talent decisions.

Leverage statistical analysis for talent insights.

Support data-driven model development.

Develop systems for revenue growth.

Enhance revenue predictability through data insights.

Leverage statistical analysis for talent insights.

Support data-driven model development.

Lead and mentor a high-performing revenue ops team.

Optimize sales processes using AI and automation.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.