Top Remote Data Science Jobs in Raleigh, NC

As a Staff Data Scientist, you will monitor and analyze personal loans underwriting models, driving data-driven decisions and enhancing model performance through deep analytical insights.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

Lead the design and development of scalable machine learning systems, mentor data scientists, and influence product roadmaps to enhance customer experience and business outcomes.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

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 Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

As a Senior Data Scientist at AKASA, you will analyze deep product data, focusing on improving GenAI products in healthcare revenue cycle management, evaluating performance, and guiding product strategy using statistical methods.

The Data Scientist will develop and maintain predictive models for insurance, support business strategies, and collaborate with teams to enhance decision-making.

Support data processing, model maintenance, and analytics reporting. Use SQL/BigQuery, R or Python, and BI tools to prepare datasets, run analyses (including media-mix and incrementality), create visualizations, and support cross-functional presentations and automation efforts.

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.

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.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

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 role involves developing strategic revenue recommendations using data analysis, optimizing revenue strategies, and enhancing data infrastructure.

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