Remote Data Jobs · Data Science

• Design and refine client-specific prompts, ensuring accuracy and relevance.
• Improve prompts for clarity and performance, automate testing with scripts.
• Work with Customer Success and Data Science teams, maintaining clear documentation.

The Artificial Intelligence Office is seeking a Senior Data Scientist to lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem. You will design and optimize conversational flows, collaborate with stakeholders, and mentor junior data scientists, ensuring scalability, security, and integration with client documentation systems in an Agile environment.

In this role, you will partner with the Platform and Product Business Unit Product Management and Engineering organizations to deliver a transformational AI‑first implementation and adoption experience for ServiceNow’s customers. As an AI-Native AI Architect, Delivery Acceleration, you will work with the product, implementation experts, both internal and external, to design, productize, and pilot agentic & generative AI-first setup and implementation experiences.

We are looking for an experienced Machine Learning Engineer to join our team to develop and deploy machine learning models for anomaly detection, processing both structured data and unstructured marketing content to identify suspicious behavior patterns and anomalous activities. As a member of this project, you will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.

In this strategic role, you will lead high-impact initiatives at the intersection of data, analytics, and artificial intelligence. You will work across global teams to modernize data capabilities, drive AI adoption, and accelerate digital transformation across multiple business functions. Acting as a bridge between business needs, analytics potential, and emerging technologies, you will shape use cases that deliver measurable business value.

The Senior Data Analyst will be responsible for driving the growth and success of payment products by developing strategies that enhance user acquisition, retention, and overall product engagement. This role requires a blend of analytical skills, strategic thinking, and collaboration across various teams to ensure that payment solutions meet market demands and align with business objectives.

As a Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI experience, and analytic consulting skills to lead client and internal engagements for Experian's new global product launch and early client success efforts. You will collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data (AWS) computing platform.

We are looking for a DP-100–certified Azure Data Scientist passionate about applied Machine Learning and delivering measurable improvements for clients. As part of a growing innovation and technology team, you’ll contribute to the design, training, and deployment of AI and ML models within the Azure ecosystem, integrating ML models into real business processes that drive meaningful outcomes.

The Fraud Intelligence team is the secret sauce behind Extend’s post-purchase protection platform, building cutting-edge analytics engines to detect and prevent fraud. This role involves analyzing large-scale data to uncover fraud signals, influencing business cases and pricing strategies, and responding to emerging fraud threats. A high-ownership position where your work will directly protect retailers, enhance customer trust, and drive the company’s bottom line!

Collaborate with other data scientists to build and iterate on models for personalized recommendations, targeting, and user segmentation. Lead personalization initiatives that span modeling, experimentation, and implementation to improve user experience and retention. Build and deploy machine learning models such as recommendation systems, targeting algorithms, segmentation, and ranking models.