IDGraph Data Scientist

Develop bioinformatics software and ML-driven solutions

Collaborate with diverse teams for innovative projects

Reduce chargeback rates by implementing a proactive strategy

Monitor and analyze dispute representment and win-rate metrics

Lead ML models for Airbnb products

Collaborate with cross-functional teams

Develop and deploy predictive models for fraud prevention

Reduce false positives and automate fraud controls

Develop and deploy predictive models for fraud prevention.

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

Lead AI adoption in customer success/SaaS

Enhance mental health & wellness benefits

Optimizing product performance through data analysis

Collaborating with key stakeholders for product decisions

Lead a team of FDEs in delivering AI systems in life sciences

Coach engineers and guide technical direction

Lead and scale a trajectory planning team with vision and strategy

Drive launch readiness by improving on-road behavior

Lead and scale trajectory planning team

Drive launch readiness by improving on-road behavior

Lead and scale a trajectory planning team

Improve on-road behavior and drive launch readiness

Lead and scale trajectory planning team

Drive launch readiness and improve on-road behavior

Hiring a remote Data Scientist at any level

Full-time position with flexibility to work remotely in the US

Lead and develop ML models for key business metrics

Build segmentation and propensity models for product/marketing

Develop and deploy Python code for real-time bidding and optimization

Train, deploy, and monitor ML models for ad decisions at scale

Develop and refine features for deep learning models on large datasets

Implement model architectures guided by recent research

Analyze threat actor behavior and abuse patterns

Implement state-of-the-art techniques for abuse detection

Become expert on customers and DER adoption challenges

Craft messaging and solution narratives for utilities

Break down complex strategic problems

Lead cross-functional initiatives

Develop and maintain ML systems for health feature analysis

Collaborate with Data Engineers to enhance ML data pipelines

Build, manage, and develop a data science team

Influence analytics and data engineering culture

Apply ML techniques effectively

Define strategic roadmaps

Develop and implement advanced ML algorithms

Design and refine ML models

Improve general chat behavior in large language models

Assess and provide feedback on model-generated responses

Lead and develop recommendation algorithms

Collaborate with cross-functional teams

Develop external narratives for research roadmap and breakthroughs

Translate technical work into accessible stories

Envisioning and supporting novel ML systems for real-world problem-solving

Collaborating across teams to build AI solutions for Customer Support

Develop and maintain Python code for data analysis, model evaluation, and AI workflow automation.

Design and refine prompts for LLMs to optimize conversational performance.

Translate complex data into actionable insights for claims and executives

Define AI Success Events aligning analytics with product goals

Provide feedback on various types of content for search engines.

Improve user experience by reviewing and rating search results.

Own and manage the notification engine and platform

Build scalable and time-sensitive notification infrastructure

Manage product life cycle effectively

Advocate for customer-centric approach

Deploy ML risk solutions at scale

Lead technical decisions and influence strategy

Apply ML for impact and collaborate with cross-functional teams

Develop statistical, ML, or optimization models

Design tooling for researchers to deploy and evaluate models

Build and maintain high-performance, cost-efficient inference pipelines

Lead AI product vision and roadmap

Translate AI capabilities into product experiences

Develop backend systems to transform raw scan data into 3D models

Build internal modeling tools for 3D data generation and optimization

Provide technical advisory to NS customers.

Collaborate with policy and sales teams.

Lead product development and strategy

Collaborate with cross-functional teams

Analyze user engagement data for personalized discovery

Build predictive models for recommendations

Design and maintain forecasting models

Develop optimization models

Define long-term architecture for ML platform

Establish standards for code quality and testing

Guiding founders on AI advancements

Testing and prototyping internal tools

Own the Growth ML strategy and roadmap

Lead and scale a world-class Growth ML team

Lead end-to-end design, build, and scale ML solutions

Provide technical leadership across ML projects

Conduct research and implement solutions in various areas.

Lead small research projects independently and collaborate on larger initiatives.

Analyze threat actor behavior and abuse patterns

Implement abuse detection techniques

Hiring a Data Science Intern for Summer 2026

Remote internship position in the United States

Analyze threat actor behavior across datasets

Implement state-of-the-art techniques for abuse detection

Analyze threat actor behavior and evolving abuse patterns

Research and implement state-of-the-art abuse detection techniques