Top Data Science Jobs in Little Rock, AR

The Staff Data Scientist will drive strategic initiatives in Reddit's ad ecosystem, develop advanced models, and collaborate across teams to optimize advertising efforts.

The Staff Data Scientist will advance claim audit models, enhance data pipelines, measure impact, and collaborate to ensure healthcare data aligns with business needs.

The Data Scientist will build fraud detection models using machine learning, analyze datasets for insights, and collaborate across teams to advance identity verification solutions.

The Data Scientist will develop machine learning models to optimize software build processes, analyzing large datasets and collaborating with teams for improvements.

As a Data Scientist at Experian, you will develop and implement advanced analytics solutions, automate data processes, create predictive models, and collaborate across teams to provide strategic insights.

Lead the sales analytics function, transforming raw data into actionable insights, mentoring analysts, and developing dashboards in Tableau.

As a Data Scientist, you'll develop machine learning models focused on computer vision, optimize pipelines, and analyze complex datasets.

The Machine Learning Engineer will develop and deploy models for anomaly detection, process unstructured marketing data, and implement monitoring systems while collaborating with analysts on detection criteria.

As a Staff Data Scientist, you will leverage data to guide strategic decisions, support product improvements, and drive growth for ClassDojo's consumer education platform.

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

Develop and implement fraud detection models using machine learning. Collaborate with teams and analyze data to enhance fraud prevention strategies.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.

The Staff Data Scientist will develop models for balancing patient demand and Registered Dietitian supply, optimize staffing and scheduling, and collaborate with multiple teams for data-driven decision making.

The Senior Staff Data Scientist will lead AI/ML initiatives, developing algorithms for business insights, collaborating across functions, and implementing advanced methodologies in forecasting and optimization.

The Data Scientist will analyze student datasets, build models to improve student outcomes, and utilize Python and Microsoft Fabric for analytics and model deployment.

The Staff Data Scientist role involves leading teams in developing AI solutions, conducting data analysis, and ensuring high-quality data for LLM applications to meet business objectives.

The Data Scientist will analyze complex data and develop generative AI solutions, collaborating with IT and business partners to enhance healthcare experiences.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

Lead development of machine learning algorithms for ad platform optimization, analyzing datasets, deploying models, and collaborating with teams to improve KPIs.

As a Senior Data Scientist, you'll shape the AI-first mission at Dropbox by leveraging data insights, collaborating with teams, and driving product strategies.

As a Data Scientist, you'll design and develop reports, collaborate on complex problems, and employ machine learning techniques to drive insights for clients.

As a Data Scientist at Ziplines, you will develop data models, create dashboards, and deliver insights to influence strategic decisions across teams.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.