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Morrisville, North Carolina30+ days ago
This role focuses on developing data analysis pipelines, ensuring efficient data exchange and interoperability across diverse platforms and scientific disciplines, and applying advanced machine learning/AI methods and statistical frameworks to identify and quantify trends or patterns in complex, large scale datasets. The Principal Exposure Data Scientist works closely with CIRI scientists and external collaborators to deliver high-quality scientific data that inform chemical exposure assessment, risk assessment, regulatory decisions, and public health guidance.
Experience level Experienced Professional Job type Full-time Work mode Remote only Employment type Permanent Location(s) Raleigh - North Carolina - United States of America WHO WE AREBuild a brighter future while learning and growing with a Siemens company at the intersection of technology, community and sustainability. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.htmlThe pay range for this position is $122,951 - $210,773 annually with a target incentive of 20% of the base salary.
Raleigh, North Carolina16 days ago
If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York, the base pay range is $115,400 - $192,200.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $123,816 - $197,784. You will focus on retrieval quality, evaluation, and production‑grade machine learning components, working closely with cross‑functional partners to deliver measurable improvements in relevance, accuracy, and user trust.
Responsibilities
- Design, build, and optimize Generative AI, RAG, and agentic RAG systems for drafting, search, and reasoning use cases.
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. 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").
Cary, North Carolina8 days ago
Collaborating with various teams to support ABB’s operations, ensuring effective coordination and timely project completion within the defined timelines. Currently enrolled in a bachelor's or master’s degree program incomputer science, data science, or related fields, in the United States.
ML Tooling: 5+ years experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML). Testing & Monitoring: Unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring.
Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. About the Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
p>146389BRArizona, California, Colorado, Georgia, New Jersey, New York, North Carolina, Texas, VirginiaUSAInfosys Limited Data ScientistITL USA Alpharetta, GA, Austin, TX, Bridgewater, NJ, Charlotte, NC, Denver, CO, Houston, TX, New York, NY, Phoenix, AZ, Raleigh, NC, Richardson, TX, Sunnyvale, CA, Tempe, AZArtificial IntelligenceTechnology|Data Science|Machine Learning, Technology|Machine learning|data science, Technology|Machine Learning|PythonSr Data ScientistAbout Us. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production.
Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients.
Raleigh, North Carolina11 days ago
Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169028029%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=2Dm7y%2B%2Flckb5oqa13cjE0WAV1kG%2BuqVQDi4dpvwoM5E%3D&reserved=0" rel="nofollow noopener noreferrer" target="_blank">Applicant Request Support Form or please contact 1-855-833-5120. Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169045885%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=X%2BrqkisseFh6q%2BEqRLuRvCa2dfT9Q2QeATdfGRVQxnI%3D&reserved=0" rel="nofollow noopener noreferrer" target="_blank">Candidate Privacy Policy.
p>If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York, the base pay range is $115,400 - $192,200.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $123,816 - $197,784. You will focus on retrieval quality, evaluation, and production‑grade machine learning components, working closely with cross‑functional partners to deliver measurable improvements in relevance, accuracy, and user trust.
Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization). -Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.
Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization). " Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm, " Time series - Exponential models, Holt-Winters, ETS, Hybrid, " ARIMA & GARCH.
You will possess mastery of the Python ecosystem, statistical evaluation, and expertise in embeddings tuning, K-means, and graph clustering, contributing to continuous evaluation pipelines like RAGAS or TurLens. Your ability to extract meaningful patterns from terabytes of messy, undocumented legacy system logs and ticket data will be key to mapping operational workflows.
Morrisville, NC30+ days ago
Together we share insights, use the latest technologies and apply advanced business practices to speed our customers' delivery of important therapies to patients. Selecting us as an employer secures a career in which you're guaranteed to: Collaborate with passionate problem solvers Partner with the most diverse team of experts in the industry.
Morrisville, NC6 days ago
Together we share insights, use the latest technologies and apply advanced business practices to speed our customers' delivery of important therapies to patients. Selecting us as an employer secures a career in which you're guaranteed to: Collaborate with passionate problem solvers Partner with the most diverse team of experts in the industry.
These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
li>Minimum 5 years of experience in data science or analytics, with a strong focus on business-facing problem solving and proven experience partnering with business teams (preferably Marketing) to translate needs into analytical solutions.
Partner with Marketing to Define and Solve Problems - Work closely with marketing stakeholders to understand business challenges, define success metrics, and translate needs into analytical approaches that drive performance across campaigns and channels.
li>Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
li>Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.