Top Data Science Jobs in Raleigh, NC

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The Sr. Data Scientist leads high-impact data science projects, mentors team members, and collaborates with executives to drive data-driven decisions. Responsibilities include architecting machine learning systems, ensuring model performance, and establishing technical standards across the team.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

The Senior Data Scientist will analyze real-world oncology data, develop methodologies for patient insights, and support RWD commercialization efforts, collaborating with cross-functional teams to enhance data usability and drive research initiatives.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

Lead AI and machine learning projects, mentoring junior data scientists, analyzing large datasets, and collaborating with cross-functional teams to align solutions with business goals.

The role involves improving data processes, building web infrastructure, and collaborating with research teams to enhance scientific workflows through digital solutions.

The Principal Data Scientist develops and deploys machine learning models for operational and clinical uses, performs analyses, and collaborates with various stakeholders.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

Lead data science efforts for the Rentals Shopping pillar, driving strategy, modeling, experimentation, and cross-functional collaboration to improve user experience and business performance.

The Principal Data Scientist will analyze complex datasets, collaborate with teams to define metrics, mentor junior staff, and communicate insights to enhance Zillow Rentals' products and strategy.

Responsible for designing and operationalizing advanced data science and AI solutions for insurance, including model deployment and data pipeline development.

As a Solutions Analytics Data Scientist, you will analyze partner data, demonstrate product value, and provide actionable insights regarding fraud patterns and performance evaluations.

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.