A senior data science role focused on AI/LLM systems, agentic product performance, and scalable AI solutions, bridging the gap between technical metrics and business objectives.
Locations (2)
Tel Aviv, Tel Aviv, Israel
Herzliya, Central District, Israel
Responsibilities
Collaborates with relevant partners on defining metrics and frameworks for evaluating complex AI/large language model (LLM) systems and agentic product performance.
Diagnoses complex issues and identifies opportunities to drive improvements within AI/LLM systems.
Prototypes and deploys applications of AI models using containerized environments (e.g., AI Azure Foundry, LangChain).
Optimizes scalable systems that use optimal context engineering (e.g., retrieval-augmented generation) workflows.
Drives AI system roadmaps through continual assessment of model performance and refinement of LLM systems and models.
Executes independent second line of defense model validation activities for high risk in-house and vendor models, develops and executes validation testing plans, and oversees model validation work of peers.
Compensation
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Responsibilities
Executes independent second line of defense model validation activities
Develops and executes validation testing plans
Replicates model development and may develop challenger models
Conducts and develops plans for model testing and data quality assessments
Reviews end-to-end life-cycle management of model development, implementation, ongoing monitoring, and use
Requirements
Bachelor’s degree in Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science or related field
Master’s degree in Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science or related field
End-to-end ownership of a strategic customer intelligence platform combining ML, GenAI, and large-scale transaction data to identify customer patterns and support personalization and marketing.
Compensation
Broadband Salary Range: $64,000 – $106,000.
Responsibilities
Lead the technical transition of the third party-developed engine into a fully owned CTC capability.
Master existing code, prompts, models, data pipelines, and architecture.
Run the production platform end-to-end, including scheduled scoring, catalogue refreshes, model and prompt releases, and pipeline monitoring.
Own ML capabilities including transaction classification, clustering, feature development, model validation, and drift management.
Own GenAI capabilities including prompt architecture, context construction, model selection, and prompt tuning.
The role involves developing AI-driven methods, LLM-based conversational interfaces, and retrieval systems to improve the discovery and usability of atmospheric data.
Responsibilities
Research, develop, and deploy AI/ML methods, including LLM-based conversational interfaces and retrieval systems, that improve discovery and usability of ARM data.
Build and maintain training and evaluation datasets derived from ARM metadata records.
Work with data scientists, database engineers, software engineers, and DevOps engineers to take systems from prototype to production.
Support researchers and developers in creating tools for the ARM Data Center.
Grow into a leadership role in AI/ML engineering for the group, demonstrated through deliverables to sponsors, platform development, technical presentations and demonstrations, and, where appropriate, inventions, patents, or copyrights.
A senior individual-contributor role acting as the technical authority guiding advanced AI across the commercial landscape—from traditional ML to Generative and agentic AI.
Responsibilities
Define and drive the technical vision, roadmap and architecture for traditional ML, Generative AI and agentic AI capabilities
Provide hands-on technical leadership to project teams; set design direction, review architectures and code, remove blockers
Lead the design of multi-agent systems and LLM applications, including orchestration, tool use, memory, guardrails and human-in-the-loop patterns
Establish standards for evaluation, including automated and human-in-the-loop methods, benchmarking, and quality gates
Drive approaches to fine-tuning, distillation and reinforcement learning (including RL from feedback)
As a Data Scientist, you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility, and drive delivery excellence.
Responsibilities
Mapping the end-to-end data science approach and designing the associated software architecture for projects
Driving the technical scoping and feasibility assessment of new projects
Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making
Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)
Design, develop, and deploy machine learning and artificial intelligence solutions that drive business decision-making and operational excellence.
Responsibilities
Develop, validate, deploy, and monitor machine learning models that support forecasting, optimization, customer intelligence, operational decision-making, and business growth.
Design and implement advanced predictive models using supervised and unsupervised learning techniques.
Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
Establish model governance processes, including documentation, explainability, fairness assessments, and monitoring.
Translate business challenges into analytical frameworks and data-driven solutions.
Apply state‑of‑the‑art deep learning techniques to search, curate, and evaluate high‑quality datasets and ground truth for autonomous vehicles.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
Foster collaborative partnerships with researchers and engineers, transforming innovative research into robust, industrial‑strength machine learning models.
Take approaches from initial evaluation and experimentation all the way to shipping.
Define, collect, and curate training and evaluation datasets, focusing on scenario coverage and label quality.
Develop vision‑language models and embeddings for scenario search, classification, and automated data curation.
Requirements
PhD in Computer Science
MS in Computer Science
Nice to have: background applying latest AI methods to solve computer vision and autonomous vehicle problems
Nice to have: experience with vision‑language models
The Data Scientist brings deep expertise in classical AI/ML, statistics, and advanced analytics to Fairview Health Services’ AI & Automation program. The role frames complex problems, develops and validates data science approaches, builds solutions, and assesses models.
Responsibilities
Translate clinical and operational challenges into testable questions, data requirements, scientific approaches, and measures of success.
Assess technical feasibility and recommend suitable analytical or AI/ML approaches for internal and partner initiatives.
Develop and validate statistical and machine-learning models or independently review and approve models developed by others.
Partner with MLOps to transition validated models into supported use.
Design reproducible analyses, experiments, and validation plans.
Requirements
B.S./B.A. in a quantitative field such as Statistics, Computer Science, Engineering, Applied Mathematics, Epidemiology, or Health Informatics
Data Systems AI / ML EngineerNewOak Ridge National Laboratory · Oak Ridge, US
Senior Data ScientistNewFaculty · Sydney, Australia
Data ScientistFairview Health Services · Minneapolis, US