Top Data Science Jobs in Raleigh, NC

The Data Scientist will lead quantitative research projects, manage datasets, mentor junior analysts, and translate findings into actionable insights for clients.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The Applied Data Scientist III will develop scalable AI solutions, analyze data, and translate technical concepts for stakeholders while advocating for AI adoption.

The Data Scientist II will work with sports tracking data to build models and analyses for NHL and NBA organizations, focusing on data transformation and metrics development.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

The role involves designing automated data processes, integrating AI tools, analyzing massive datasets, and presenting strategic insights to executives.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

Lead the development of outfit completion models by combining client preferences and machine learning to improve personalized recommendations at Stitch Fix.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

As a Senior GTM Data Scientist, you will develop predictive models, analyze experiments, and provide actionable insights to GTM teams.

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

Lead data science initiatives to develop analytical solutions, mentor junior data scientists, collaborate on automation, and ensure operational reliability of models.

Seeking a Senior Data Scientist to lead predictive analytics and machine learning initiatives. Responsibilities include building ML models, data management, and mentoring junior data scientists. Must have expertise in AWS and strong statistical knowledge.

Lead the design and deployment of AI/ML solutions for business impact, mentor data scientists, influence analytics strategy, and establish modeling standards.

The Principal Data Scientist will develop fraud detection systems, lead technical projects, mentor team members, and collaborate with engineering to improve data verification processes.

As a Staff Data Scientist, you'll develop and deploy machine learning models to enhance renter experiences and optimize property partnerships, collaborating across teams to translate data insights into actionable strategies.

The Data Scientist will apply causal inference and data analysis to optimize marketing strategies, collaborate with teams, and lead internal research efforts.

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.