Top Remote Data Science Jobs in Raleigh, NC

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

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 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.

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.

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.

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.

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

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.