You will play a leading role in improving data and analytics products and in creating new products and capabilities.
Compensation
RATE RANGE: $125k - $150k
Responsibilities
Invent new solutions for our clients. You will model and optimize the connections and causal relationships that run from an ad's creative all the way to a customer's lifetime value.
Take models from concept to production, then monitor and improve them as client data and ad platforms change.
Work with large, multi-source datasets including real time event data, system of record data, click and spend data, and analytics metadata.
Review model outputs and metrics critically, and catch results that don't add up: unexpected shifts, implausible values, data gaps, leakage or broken assumptions. Then fix or improve the data, logic or models.
Build, test and evaluate machine learning models for attribution, prediction, and optimization.
Requirements
Master’s or Ph.D. in a quantitative discipline (Data Science, Computer Science, Engineering, Statistics, Mathematics, or a natural science)
Bachelor's degree with 7+ years of relevant applied experience
Nice to have: marketing data
Nice to have: ad platforms such as Google Ads and Meta Ads
Own the strategy, roadmap, and adoption of NVIDIA’s shared data platform, Dataset Storage Service (DSS).
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 240,000 USD – 379,500 USD.
Responsibilities
Own product strategy and roadmap for DSS and supporting data services
Define workflows for dataset discovery, versioning, sharing, curation, and delivery to training
Partner with engineering to improve data processing, movement, and access across storage systems and compute clusters
Drive adoption across NVIDIA teams through onboarding, APIs, developer tools, documentation, and customer feedback
Take capabilities from early access to production with engineering, SRE, and partner teams
Requirements
Bachelor's in Computer Science, Engineering, or a related technical field, or equivalent experience
Own product strategy and roadmap for NVIDIA Data Services shared data platform, balancing customer needs, engineering capacity, reliability, and cost.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 240,000 USD – 379,500 USD.
Responsibilities
Own product strategy and roadmap for DSS and supporting data services
Define workflows for dataset discovery, versioning, sharing, curation, and delivery to training
Partner with engineering to improve data processing, movement, and access across storage systems and compute clusters
Drive adoption across NVIDIA teams through coordinated onboarding, consistent APIs and developer tools, documentation, and customer feedback
Take capabilities from early access to production with engineering, SRE, and partner teams
Requirements
A degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
Provide support and work closely with AXA XL teams in London and India to deliver professional standard services relating to quality and accuracy of technical and financial data across insurance business classes.
Responsibilities
Maintain ongoing records of investigations through to resolution
Gain approval to make appropriate changes
Create/update records in AXA XL systems to enable final reconciliation
Investigate issues relating to third parties
Liaise with bureau and/or brokers to arrange corrections
Clinical Pharmacist specializing in Medicare D‑SNP and Medicaid, optimizing medication therapy and health outcomes for vulnerable populations.
Responsibilities
Monitor FDA approvals and drug manufacturer pipelines
Assess drug utilization reports and write drug monographs
Assist in development of Gateway’s Drug Formularies
Develop and implement utilization management programs including prior authorization, dose and duration edits, quantity limits, step‑care edits, generic sampling, medical policy review and development
Develop and implement physician, pharmacy, account, and member educational initiatives
Internship focused on developing and supporting machine learning models within Bask Health's telehealth platform.
Responsibilities
Assist with developing machine learning models and supporting engineering systems across Bask Health
Work with experienced engineers to understand practical machine learning development workflows
Prepare, clean, and transform approved datasets for model training and evaluation
Write Python scripts for data processing, experimentation, and model development
Assist with implementing supervised learning models and baseline algorithms
Requirements
Currently pursuing, recently completed, or independently developing skills equivalent to a degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Statistics, or a related technical field
Serve as a hands-on individual contributor building and supporting AI/ML capabilities for the Behavioral Health portfolio.
Responsibilities
Build and support AI/ML capabilities for the Behavioral Health portfolio
Develop workflows, APIs, data pipelines, automated testing, and production-ready components
Focus on coding, model integration, prompt development, automated testing, data processing, deployment, and production support
Contribute reusable components across BH UM Modernization, BH Provider Digital Agentic AI, ABA AI, ABA Oversight and Supervision, and Provider Health Dashboard
Develop, test, and maintain AI/ML services, large language model workflows, APIs, data pipelines, and application components
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