Jobs in the United States

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Added 3 hours ago
Senior ML Engineer
Flagship Pioneering, Inc.
Cambridge, MA
We are seeking a highly motivated Senior Machine Learning Engineer to join our AI/ML team. This individual will play a central role in designing, building, and deploying the machine…
Added 5 hours ago
CTO, Anthropic Practice
EPAM Systems
Philadelphia, PA
Experience: 12+ years in software engineering, architecture, or technical consulting, including 5+ years in a senior client-facing technical role (field CTO, principal architect, or head of…
Added 6 hours ago
Lead Data Scientist
MetLife
Cary, NC
Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases
Added 7 hours ago
Sr. Staff Software Engineer, Cribl Detect
MONTROSE ENVIRONMENTAL GROUP
SALT LAKE CITY, UT
…aren't afraid to break a few things along the way if it means learning faster and building something better. This is where we experiment, prototype, and turn rough ideas into real products…
Added 7 hours ago
Senior Software Development Engineer, Mobile
Delta Air Lines, Inc.
Atlanta, GA
Build a flexible, event-driven, server-driven app. Architect the FlyDelta mobile app so new features and journeys ship without a full release cycle and adapt to customers in real time.…
Added 8 hours ago
Consulting Principal Enterprise Architect - AI Specialty (Platforms & Services / Hi-Tech)
Cognizant
San Jose, CA
As a Principal Enterprise Architect - AI Specialty (Platforms & Services / Hi-Tech), you will make an impact by acting as the senior AI architecture authority for a portfolio of Platforms &…
Added 8 hours ago
CTO, Anthropic Practice
EPAM Systems
San Francisco, CA
Experience: 12+ years in software engineering, architecture, or technical consulting, including 5+ years in a senior client-facing technical role (field CTO, principal architect, or head of…
Added 9 hours ago
Senior Manager Data Engineer (Databricks, Pyspark, Snowflake)
Capital One
Chicago, IL
Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Added 9 hours ago
Director, Enterprise Data Engineering & Analytics
Marsh McLennan Inc.
NEW YORK, NY
Added 9 hours ago
CTO, Anthropic Practice
EPAM Systems
New York, NY
Experience: 12+ years in software engineering, architecture, or technical consulting, including 5+ years in a senior client-facing technical role (field CTO, principal architect, or head of…
Added 13 hours ago
Lead Enterprise IT Systems Architect - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
We are seeking a Lead Enterprise IT Systems Architect to serve as the sole architectural authority for a major Department of War program. This role owns the enterprise technical vision and…
Added 15 hours ago
Senior Staff Engineer - Agentic Identity
Cisco Systems, Inc.
Remote, United States
…leaders in a supportive environment dedicated to continuous learning, innovation, and…
Added 17 hours ago
Senior Data Architect
Jobgether
Remote, United States
We are seeking an experienced Senior Data Architect to lead the design and delivery of modern, enterprise-scale data platforms, with a strong focus on Microsoft Fabric and the Azure…
Added 18 hours ago
Senior Power and Thermal Architect
NVIDIA USA
CA
…headroom! We are the Silicon Co-Design Group (SCG). We are hiring a Senior Architect to scout the research and industry landscape, identify emerging system-level co-design ideas in power…
Added 19 hours ago
AI Senior Manager - SFL Scientific
Deloitte
Boston, MA
…to deliver valuable AI solutions, tools, and services. As a Senior Manager, you will define and execute our strategy for AI, ML, and GenAI services-from strategic alignment, roadmap…
Added 19 hours ago
Senior Data Scientist Engineer - SFL Scientific
Deloitte
Boston, MA
…specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate…
Added 19 hours ago
Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)
Expedia, Inc.
WA
We are looking for a hands-on Senior Machine Learning Scientist who thrives on building end-to-end systems, from backend architecture to user-facing interfaces, including agentic UX/UI,…
Added 21 hours ago
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Principal Software Engineer Manager (AI Infrastructure) - North America Software Center
TSMC
Vancouver, WA
- $166,800 to $223,050 USD / year
In this dual-impact leadership role, you will combine deep technical expertise in distributed systems and AI platforms with strong people leadership. You will architect scalable,…
Added 22 hours ago
Senior Full-Stack Software Engineer
Trinzic
Beavercreek Township, OH
Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the…
Added 23 hours ago
Managing Director, Head of Investment Mgt Technology
Symetra
United States
Architect and oversee a scalable, secure, and highly controlled technology environment that can support public and private asset classes, including fixed income, structured products,…
Added 23 hours ago
Senior Backend Engineer - Microservices
GD Information Technology, Inc.
Remote, United States
In this senior engineering role, you will design, build, and support scalable microservices powering critical enterprise systems. You will collaborate across product, architecture, and…
Added 1 day ago
RC
Senior Ai/ML Engineer
Redhorse Corporation
Remote, United States
- $180,000 to $200,000 USD / year
Design, develop, and optimize machine learning, deep learning, and generative AI models to solve complex operational problems and improve predictive maintenance capabilities.
Added 1 day ago
Lead Deployment Architect
Celonis
NY
As a Lead Deployment Architect, you are the most senior technical authority within delivery. You own the end-to-end solution architecture for your portfolio of strategic customer…
Added 1 day ago
W
AI & Data Strategy and Transformation Consulting Senior Manager
Wavestone
New York, NY
- $200,000 to $214,000 USD / year
…leading global consulting firm, we combine strategic insight, deep industry expertise, and a people-first approach to deliver lasting…
Added 1 day ago
Managing Director, Head of Investment Mgt Technology
Symetra
United States
Architect and oversee a scalable, secure, and highly controlled technology environment that can support public and private asset classes, including fixed income, structured products,…

MetLife

Lead Data Scientist

Cary, NC, United States

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Job details

Posting language: English
Posted: Feb 5, 2026

Original job description

Description and Requirements

Role Value Proposition:

The position sits within the newly consolidated Data and Analytics (D&A) organization supporting the U.S. Business of MetLife. U.S. D&A assists all business lines of MetLife's U.S. business (about 2/3 of MetLife Global by earnings) with everything related to data, analytics, and data science, from data infrastructure, data governance, data engineering, data modeling, data analysis, to business intelligence, data science, and AI.

The Lead Data Scientist is crucial to DnA USB's Engagement Strategy team, creating Machine Learning and AI solutions to support marketing campaigns and business engagement. You will provide hands-on technical leadership in the design, development, and operation of Machine learning and AI solutions within a regulated, enterprise environment.

You will own technical architecture, solution, and implementation decisions for solutions within a defined business domain, ensuring solutions are scalable, reliable, and compliant with governance and risk standards. You will work closely with the architect, data engineering, platform engineering, DevOps, product, and business stakeholders to translate business requirements into robust AI solutions.

Key Responsibilities:

Team Leadership: Lead the solution and a team of data scientists delivering AI and ML solution for marketing and business engagement use cases
Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
Planning and Business alignment: Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives.
Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases
Data Analysis: Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
Collaboration: Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
Stakeholder Communication: Visualize data, create reports, and present findings to senior management and cross-functional teams.
Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learning.
ML-Ops Best Practices: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.

Essential Business Experience and Technical Skills:

Required:

Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
8+ years of overall experience in AI/ML engineering and/or data science.
5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
Proven experience designing, deploying, and operating production ML and/ or GenAI solutions, including APIs, batch, and real-time inference.
Experience in developing Machine Learning models using Python (preferably in the cloud)
Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
Experience with Dominos, Power BI, and/or Azure ML
Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction.
Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes
Very good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & results
Very good problem solver and excellent communication skills - both written and verbal

Preferred:

Experience with employee benefits plans is a plus
Hands-on experience with cloud platforms (Azure/Databricks).
Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs.
Strong understanding of prompt engineering, fine-tuning, and evaluation of generative models for real-world applications.
Ability to build, optimize, and scale GenAI pipelines for tasks such as document Q&A, summarization, chatbots, and knowledge retrieval.

At MetLife, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re dedicated to making a difference in the lives of our customers.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

Benefits We Offer

Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! For more information regarding MetLife’s U.S. benefits, please [1] click here.

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s [2] #AllTogetherPossible. Join us!

MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").

If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

MetLife maintains a drug-free workplace.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liabilities.

This posting is for a current vacancy and is anticipated to remain open for at least 90 days from the listed posting date. References

Visible links

https://www.metlife.com/content/dam/metlifecom/us/noindex/pdf/HR-US-Benefits/US-Benefits-Overview-10-13-2025.pdf
https://www.metlifecareers.com/ml/GreatPlaceToWork

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More about this job

Skills

Data engineering
Data modelling
Data analysis
Business intelligence
Machine learning
Leadership
DevOps
Team leadership
ML
Deep learning
Collaboration
Negotiate with stakeholders
Communication skills
Python
Microsoft Azure
Research
Distributed computing
Computer science
Sales
SQL
Microsoft Power BI
Statistics
Customer experience
Presentation skills
Databricks

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