Top Data Science Jobs in Raleigh, NC

Design, prototype, and deploy movement and running-dynamics algorithms using wearable sensor data. Translate raw multi-axis sensor signals into production-grade movement metrics, collaborate with hardware and product teams, and validate algorithms for athlete-focused insights.

As a Data Scientist, you will analyze data for actionable insights, collaborate across teams, build models, and communicate findings through visualizations.

The Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.

The Senior Data Scientist will develop machine learning systems for fraud prevention using behavioral data, collaborate across teams, and mentor junior scientists.

The Data Scientist IV leads machine learning model development, performs data analysis for insights, collaborates on projects, and mentors junior team members.

As a Senior Data Scientist, analyze healthcare data to improve health outcomes, develop reports and dashboards, and collaborate across teams to leverage genomic data for health insights.

As a Senior Principal Data Scientist, lead the application of machine learning and AI for ad measurement, optimizing advertiser outcomes through complex model and pipeline development, experimentation, and reinforcement learning systems.

The role involves analyzing large datasets, developing predictive models using machine learning, collaborating with stakeholders, and creating interactive dashboards to present insights.

The Data Scientist II will design and deploy ML models for autonomous vehicles, enhance data tagging, and improve dataset quality through advanced techniques and frameworks.

The Senior Data Scientist will forecast revenue, build reports and dashboards, analyze performance metrics, and collaborate on analytics projects within Extend.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Sr. Data Scientist develops AI/ML solutions, builds data pipelines, mentors technologists, and collaborates with teams to meet operational goals.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The Senior Data Scientist will develop marketing intelligence frameworks, predictive models, and causal inference systems to drive business growth and enhance decision-making in marketing strategies.

As a Data Scientist at Nextdoor, you will design experiments and conduct analyses to drive product strategies while collaborating with cross-functional teams.

The role involves designing AI-powered systems for offensive security, building data pipelines, deploying models, and collaborating on security automation.

Develop and deploy NLP and ML solutions to improve search relevance across large news and financial corpora. Build transformer and shallow models, apply LLMs, drive ML pipeline best practices, translate business needs into deliverables, and mentor junior data scientists.

Lead a team to design, develop, and deploy advanced AI/ML solutions (especially LLMs). Mentor junior data scientists, set team strategy and best practices, analyze large datasets, collaborate with cross-functional stakeholders, and ensure model quality and governance.

Lead development of next-generation search relevance using NLP and ML. Research, build, and deploy shallow and deep learning models on large corpora, improve search algorithms, drive ML/NLP best practices, mentor junior staff, and collaborate with product teams to translate business needs into production solutions.

Design, implement, evaluate, and deploy advanced AI/ML solutions (information extraction, entity linking, retrieval, long-context models). Lead experiments, data annotation, error analysis, production pipelines, and mentor junior team members while collaborating with engineering stakeholders.

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

The Senior Data Scientist will develop credit risk analytics, build reports and dashboards, ensuring client alignment and data quality while mentoring junior members.

The Sr. Data Scientist will optimize risk solutions using machine learning and statistical methods, develop models, mentor juniors, and collaborate with stakeholders on credit risk management.