Top Remote Data Science Jobs in Greensboro, NC

The role involves analyzing biobank datasets using statistical and computational methods, developing machine learning pipelines, and collaborating with scientific teams to advance research in human genomics.

Lead development of data structures, analyze health data, create whitepapers, and collaborate with cross-functional teams on clinical research.

As a Senior Data Scientist, you'll analyze multi-modality health data, develop insights for models and decisions, and collaborate across teams to ensure data is clinically sound and interpretable.

As a Pricing Data Scientist, you'll develop and validate pricing models for alternative assets, collaborate with engineers, and enhance valuation accuracy through data insights.

As a Senior Data Scientist, you will own data, collaborate with engineers and stakeholders, and build tools for analytics and dashboards to inform business decisions.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

The Senior Data Scientist will optimize customer onboarding using machine learning and generative AI, developing solutions and collaborating across teams.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

Seeking a data scientist with strong skills in PySpark and Python to manage the end-to-end data science workflow, focusing on loyalty programs. Responsibilities include data transformation, predictive modeling, and client interaction to derive actionable insights.

As a Senior Data Scientist, you'll partner with teams to build data-powered tools, optimize performance metrics, and champion data adoption across departments.

The Senior Data Scientist will design, develop, and own machine learning systems for document verification focusing on computer vision and deep learning. Responsibilities include technical leadership, engaging with customers, and collaborating with engineering and product teams.

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, implement RAG and agent workflows, apply ML and statistical methods (DoE, Bayesian optimization, causal/survival/longitudinal), analyze RWE/RWD, and integrate insights across clinical, regulatory, and product teams to drive diagnostic and business impact.

Design, build, and deploy end-to-end production ML systems for audience targeting, lookalike generation, and propensity scoring. Own ML lifecycle from experimentation to production monitoring, leverage distributed/cloud platforms, implement vector similarity and embedding systems, engineer scalable features, and collaborate with engineering and product teams to ensure model quality and operational reliability.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, develop production-grade models and RAG/agent pipelines, perform RWE analytics, and integrate insights across clinical, regulatory, R&D, and product teams to drive diagnostic performance and patient impact.

Lead development and operationalization of LLMs, agentic and image AI solutions; build multimodal datasets; develop production-grade models, RAG pipelines and agent workflows; run RWE analytics and Bayesian optimization for assay/R&D acceleration; deploy solutions on Azure/Snowflake/Databricks and integrate insights into clinical, regulatory, and product programs.

Lead analytics for claim decisioning by framing ambiguous problems, building scalable data models and pipelines, designing metrics, and deploying analytical and ML solutions. Partner cross-functionally to measure decision quality, operational performance, and payment accuracy, iterating quickly to deliver measurable impact.

The Senior Data Scientist at Bluesight will develop machine learning models, collaborate on analytics projects, communicate findings, and elevate the analytics team's skills.

As a Senior Data Scientist, you will evaluate revenue growth opportunities, develop analytical frameworks, create executive reports, and ensure data accuracy, influencing business decisions through strong technical execution and communication.

The Senior Data Scientist will evaluate revenue growth opportunities, develop analytical frameworks, produce reports, and ensure data accuracy for decision-making.

Lead custom analytics and ML model development for non-prime lending using traditional and alternative data. Scope and deliver credit strategies (underwriting, pricing, collections), engineer features, evaluate data sources, present insights to clients, and support model implementation, monitoring, and optimization.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The role involves engineering consumer-level attributes, applying statistical techniques, building dashboards, and collaborating with various teams to enhance credit-related decisions based on data insights.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.