UNKNOWN

ADAPTED_NOW

If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com . We are looking for a Senior Manager, Data Scientist to be a senior technical leader across our most important AI bets driving applied research, leading multi-disciplinary teams, and shaping how EY designs, builds, and scales AI solutions for our clients.

YEAR

Location: Anywhere in Country

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

**AI and Data - Data Scientist - Senior Manager**

EY delivers unparalleled cross-functional tech consulting services in artificial intelligence, big data and cloud engineering. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. Come help define the future of AI.

**The opportunity**

EY is significantly investing in our award-winning AI & Data practice. We are looking for a Senior Manager, Data Scientist to be a senior technical leader across our most important AI bets driving applied research, leading multi-disciplinary teams, and shaping how EY designs, builds, and scales AI solutions for our clients.

Your work will span agentic AI, foundation-model applications, retrieval and grounding, knowledge representation, machine learning, optimization, and the broader analytics landscape. A current strategic focus is the cognitive harness and memory layer that powers our agentic offerings and you will play a leading role there but the role is intentionally broader. You will move across problem spaces as our practice and our clients' priorities evolve, and you will help define which problems we tackle next.

This is a high-visibility, high-impact role at the intersection of applied research, engineering, and client delivery. You will be hands-on, you will publish, you will prototype and productize, and you will mentor a other data scientists and ML engineers tackling the hardest problems in EY's AI portfolio.

**Your key responsibilities**

As a Senior Manager, Data Scientist, you will be a hands-on technical leader who shapes the data-science agenda across multiple workstreams. You will own technical direction, experimentation, and the path from prototype to production for the problems you take on. You will be expected to build, not just design and to lift the bar of the team around you.

+ Lead data-science strategy and execution across multiple AI workstreams including agentic AI, the cognitive harness, memory and grounding, foundation-model applications, machine learning, optimization, and applied analytics.

+ Drive the applied-research and experimentation agenda long-context vs. retrieval trade-offs, hybrid search, reranking, evaluation design, model selection, fine-tuning, and emerging techniques as the field evolves.

+ Design and contribute to the build of core platform components including elements of EY's cognitive harness (memory services, retrieval pipelines, grounding layers, evaluation harnesses) and other reusable AI capabilities.

+ Establish evaluation and quality frameworks for AI systems retrieval and grounding fidelity, hallucination rate, model accuracy, latency, cost, fairness, and continuous evaluation in production.

+ Lead and mentor data scientists and ML engineers set the technical bar, run design reviews, and grow rigor in experimentation, model selection, and production readiness.

+ Partner with sector and functional teams (Finance, Risk, Tax, Supply Chain, HR, Operations) to translate business problems into rigorous, deliverable data-science programs.

+ Engage with clients on complex AI problems shape the technical approach, defend it in front of senior stakeholders, and own delivery quality.

+ Stay abreast of AI technology trends and provide directional guidance and recommendations around models, frameworks, tools, and patterns that fit our clients' existing ecosystems.

+ Apply combined business and technical knowledge to develop and execute target architectures that enable implementation, monitoring, and ongoing improvement of AI at scale.

**Skills and attributes for success**

This role will work to deliver tech at speed, innovate at scale, and put humans at the center. You will provide technical guidance and share knowledge with team members with diverse skills and backgrounds. You will consistently deliver quality client services, focusing on more complex, judgmental, and specialized issues surrounding modern AI, foundation models, and emerging technology. You will demonstrate deep technical capabilities and professional knowledge, and you will lead through making.

+ Strong, hands-on data scientist who codes comfortable building and shipping models, pipelines, services, and experimental frameworks, not just specifying them.

+ Deep technical breadth across modern AI foundation models and prompting, retrieval and grounding, embeddings and fine-tuning, classical ML, optimization, and experimentation rigor.

+ Working knowledge of agentic systems and cognitive harness / agent-runtime architectures - memory, tools, policies, evaluation, observability, cost and the trade-offs between them.

+ Familiarity with at least one major agent SDK (Google ADK, AWS Bedrock AgentCore, LangGraph, AutoGen, OpenAI Agents SDK) and the ability to compare them critically.

+ Experience designing and operating production AI systems on cloud platforms (GCP, AWS, Azure, Databricks) including responsible-AI guardrails, monitoring, and continuous evaluation.

+ Track record of leading data-science teams across multiple projects setting technical strategy, mentoring, and raising the bar on rigor and delivery quality.

+ Excellent communication skills able to explain complex AI concepts to executive clients, and able to defend technical choices in front of architects, engineers, and researchers.

+ Comfortable moving between problem spaces - equally credible designing a memory architecture, evaluating a forecasting model, or shaping a new agentic workflow.

**To qualify for the role you must have**

+ PhD preferred in Computer Science, Machine Learning, Computational Linguistics, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field. Master's with exceptional applied experience also considered.

+ 12+ years of applied data science / ML experience, with at least 3 years in a senior technical leadership role.

+ Demonstrable experience taking AI and ML systems from prototype to production - across multiple problem types (e.g., predictive modeling, NLP, retrieval / RAG, optimization, or agentic workflows).

+ Hands-on proficiency in Python and the modern ML/AI stack (PyTorch, Hugging Face, scikit-learn, and at least one of LangChain / LangGraph or an equivalent agent / LLM framework).

+ Practical experience with at least one major cloud AI platform (Vertex AI, Bedrock, Azure AI Foundry, Databricks Mosaic AI) and one vector / retrieval stack.

+ Experience designing evaluation frameworks for AI systems - beyond standard benchmarks - including evaluation for foundation-model-based or agentic workflows.

+ Experience operating in a client-facing or cross-functional environment, translating business problems into rigorous data-science programs.

**Ideally, you will also have**

+ Published research or open-source contributions in AI / ML agentic systems, retrieval, memory and grounding, knowledge graphs, foundation models, optimization, or related areas.

+ Experience with knowledge graphs, ontologies, and neuro-symbolic approaches to grounding and reasoning.

+ Experience building or contributing to a cognitive harness, agent operating system, or agent runtime - internal or open source.

+ Experience with continual learning, online evaluation, drift detection, and model / memory monitoring in production.

+ Familiarity with regulated-industry constraints (SOX, HIPAA, GDPR) and how AI design interacts with audit, retention, and explainability.

+ Prior consulting, product, or hyperscaler experience - comfortable in a fast, ambiguous environment with senior stakeholders.

**What we look for**

We are looking for a data-science leader who is genuinely excited about hard technical problems and who is as comfortable in a research paper as in a production codebase. You should be the kind of person who treats AI systems as engineered products designed, evaluated, and operated with rigor and who wants to lead a team that ships to Fortune 500 clients across multiple industries.

**What we offer**

We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Plus, we offer:

+ Continuous learning develop the mindset and skills to navigate whatever comes next.

+ Success as defined by you we provide the tools and flexibility to make a meaningful impact, your way.

+ Transformative leadership insights, coaching, and confidence to be the leader the world needs.

+ Diverse and inclusive culture embraced for who you are, empowered to use your voice to help others find theirs.

**What we offer you**

At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $178,300 to $407,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $213,900 to $462,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

**Are you ready to shape your future with confidence? Apply today.**

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

**EY | Building a better working world**

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.?

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

Data Scientist - Senior Manager- Consulting - Location OPEN

Amazon Web Services (AWS)

Architectural Analysis

Architectural Design

Artificial Intelligence (AI)

Benchmarking

Big Data

Building Codes

Business Skills

Capital Markets

Cloud Computing

Communication Skills

Computational Linguistics

Computer Science

Consulting

Cross-Functional

Customer Satisfaction

Customer Support/Service

Data Science

Ecosystems

Emerging Technology

Finance

Forecasting

Fortune 500 Customers

GCP (Good Clinical Practices)

Geography

HIPAA (Health Insurance Portability and Accountability Act)

Knowledge Representation

Leading Edge Technology

Machine Learning

Mathematics

Memory Hardware

Mentoring

Microsoft Windows Azure

Multitasking

Natural Language Processing (NLP)

Ontology

Open Source

Operating Systems

Operations Research

Policy Evaluation

Predictive Modeling

Problem Solving Skills

Product Design

Production Control

Production Systems

Prototyping

Python Programming/Scripting Language

Risk

Sarbanes-Oxley Act (SOX)

Software Engineering

Statistics

Strategic Planning

Supply Chain

Systems Engineering

Team Lead/Manager

Technical Consulting

Technical Delivery

Technical Leadership

Technical Strategy

monster

Distributed data technologies (e.g., Pyspark) + Cloud platform deployment and tools (e.g., Kubernetes) + Relational SQL databases + DevOps and continuous integration + GitHub + Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

Location: Anywhere in Country

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambitions to keep doing more.

**The opportunity**

We are seeking a Data Engineer with strong semantic data engineering capabilities - someone who can design and build modern data pipelines while also implementing semantic frameworks (ontologies, taxonomies, and knowledge graphs) that enable agentic AI and intelligent data products.

In this role, you will work at the intersection of data engineering, knowledge representation, and AI enablement, helping create a context layer that allows AI systems to understand and reason over enterprise data. You will collaborate with data architects, AI engineers, and stakeholders to translate complex business concepts into scalable data + semantic models, powering downstream analytics, AI workflows, and operational use cases.

**Your key responsibilities**

In this role, you will contribute to multiple solutions and workstreams, focusing on delivery quality, operational excellence, and effective risk management. You will be proactive in continuous process improvement, leveraging research and analysis to identify innovative solutions.

Key responsibilities include:

**Data engineering & platform delivery**

+ Design, build, and operate scalable data pipelines and integrations that support large-scale data architectures across cloud and hybrid environments.

+ Build out new integrations using cloud-native technologies to support continuing increases in data sources, volume, and complexity.

+ Extract, transform, and load data from multiple external/internal sources into a single, consistent source to serve business users and data visualization needs.

+ Implement processes and systems to drive data reconciliation and monitor data quality.

+ Write unit/integration/performance tests and perform analysis required to troubleshoot data-related issues and support resolution.

**Semantic data engineering / context engineering**

+ Develop and evolve ontologies and semantic models to represent business concepts, relationships, and workflows in support of AI agents and enterprise analytics.

+ Build and maintain knowledge graphs that enable contextual reasoning, entity resolution, and semantic integration across domains.

+ Define metadata schemas, taxonomies, and contextual rules to support dynamic orchestration, discoverability, and reuse.

+ Implement and govern semantic standards and best practices aligned to W3C semantic web standards

**Continuous improvement**

+ Utilize CI/CD principles to automate deployment of code changes, improving code quality, test coverage, and resilience.

+ Evaluate and adopt emerging tools and processes in data engineering and knowledge graph platforms to improve productivity and outcomes.

**Skills and attributes for success**

To thrive in this role, you will need a strong ability to manage change, lead teams effectively, and maintain excellent relationship management skills. You should be adept at problem-solving, critical thinking, and have a deep expertise in data architecture and software engineering.

+ Partner with Business Analysts and Solution Architects to translate business requirements into technical specifications aligned to the intended design.

+ Collaborate with AI/ML engineers to embed a semantic context layer into agentic workflows and data products.

+ Support advanced analytics and AI use cases by improving data readiness, meaning, lineage, and interpretability.

+ Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity.

+ Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth.

+ Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions.

+ Develop solutions for complex problems

+ Suggest changes to policies and establish new procedures

+ Provide direction and feedback to team members

**To qualify for the role, you must have**

+ A Bachelor's degree in STEM

+ 6+ years of relevant experience in software development, data science, data engineering, ETL, and analytics reporting development.

+ 3+ years' experience with native cloud products and services such as AWS, Azure or GCP.

+ 3+ years of experience in the Life Science industry

+ 2+ years of experience mentoring and leading a team of data engineers, fostering a culture of innovation and professional development.

+ Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines.

+ Proven track record of designing and implementing complex data solutions.

+ Demonstrated understanding and experience using:

+ Data engineering programming languages (e.g., Python)

+ Proficiency in OWL, RDF, SPARQL.

+ Distributed data technologies (e.g., Pyspark)

+ Cloud platform deployment and tools (e.g., Kubernetes)

+ Relational SQL databases

+ DevOps and continuous integration

+ GitHub

+ Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions.

+ Understanding of database architecture and administration.

+ Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners.

+ Strong problem solving and troubleshooting skills.

+ Ability to work in a fast-paced environment and adapt to changing business priorities.

**Ideally, you'll also have**

+ Strong business acumen with the ability to manage complex client relationships

+ Proven experience in managing and leading teams within a dynamic environment

+ Excellent communication and interpersonal skills

+ Experience with agentic AI systems or AI orchestration frameworks.

+ Knowledge of data fabric, data mesh, or AI4Data architectures.

+ Background in enterprise data management (MDM, metadata, governance).

+ Experience with cloud data platforms like Snowflake and Databricks.

+ Experience in leading and influencing teams, with a focus on mentorship and professional development.

+ A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.

+ The ability to foster an inclusive environment that values diverse perspectives and empowers team members.

**What we look for**

We are looking for top performers who demonstrate a combination of technical expertise and leadership abilities. Ideal candidates are those who can navigate complex problems with innovative solutions, have a track record of successful project delivery, and possess the skills to build and maintain strong client relationships.

FY26NATAID

**What we offer you**

At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

**Are you ready to shape your future with confidence? Apply today.**

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

**EY | Building a better working world**

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.?

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

Winter Science Jobs in Lacey, WA

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Winter Science Jobs in Lacey, WA

Data Scientist - Senior Manager- Consulting - Location OPEN EY

Context Engineer - Manager - Consulting - Location OPEN EY

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