Top Data Science Jobs in Fayetteville, AR

Lead end-to-end pricing experimentation and strategy for consumer and business products. Design and analyze A/B tests, build pricing models and production-grade data pipelines, partner cross-functionally, and present actionable recommendations to senior leadership.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, demand forecasting, targeting, and personalization. Collaborate with engineers, product, and stakeholders to set architecture, metrics, and production best practices; mentor data scientists; lead experimentation and deploy/monitor models using cloud and MLOps tooling.

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.

Build and deploy statistical and machine learning models for the Toast platform. Collaborate with product, engineering, and business teams to identify opportunities, develop data-driven solutions, evaluate models, and communicate insights to stakeholders. Work in a fast-paced environment and contribute to production ML systems and experimentation.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

Design and prototype scalable predictive models and analytics for fraud detection. Analyze high-dimensional, real-time datasets, identify anomalies and trends, build dashboards and reports, validate data quality, and communicate insights to product and business stakeholders. Collaborate with data scientists, engineers, and product managers to apply new analytical methods and maintain monitoring for key business metrics.

Senior individual contributor providing technical leadership to architect, build, and deploy end-to-end ML and agentic AI systems at scale. Responsibilities include designing data pipelines, feature stores, model training/serving, multi-agent orchestration, evaluation frameworks, production monitoring, and mentoring senior talent while influencing long-term AI roadmap and presenting results to leadership.

Lead design and delivery of production-scale AI/ML and agentic systems: end-to-end pipelines, autonomous agents, RAG/NLP/embedding solutions, evaluation frameworks, monitoring, and mentoring senior talent while influencing roadmap and strategy to drive measurable business impact.

Build and productionize end-to-end ML solutions for Walmart Marketplace. Own MLOps lifecycle, develop scalable training/inference/monitoring pipelines, apply SRE principles, build Kafka logging pipelines, mentor engineers, and align models with business goals.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

Lead enterprise-wide data science and GenAI initiatives from problem framing to production and impact measurement. Partner with business, product, engineering, and operations to design, build, deploy, and monitor scalable ML and LLM-based solutions, define success metrics, run experiments, and influence executive decisions to improve retail, supply chain, and customer experience.

Lead and deliver end-to-end data science projects: design, build, deploy, and monitor ML/statistical models for credit risk, pricing, collections, and fraud. Partner with cross-functional teams to integrate models into production, set model development standards, mentor engineers, and maintain reliable ML pipelines and monitoring systems.

Lead design and evolution of large-scale nodal power market models. Define mathematical approaches, develop optimization/forecasting methodologies (MILP, SCUC/SCED), collaborate with engineers to productionize models, work with product and customers to translate market problems into software, mentor data scientists, and guide long-term product strategy.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Develop and refine predictive models, perform exploratory data analysis, and generate AI-driven insights for DoD missions. Integrate multi-source data, apply geospatial analytics, iterate models via Agile sprints, produce performance and cost reports, and optimize analytic workflows for operational deployment.

Design and build ETL pipelines and data integrations, develop LLM-powered RAG systems and AI Agents, manage vector databases, run evaluations and fine-tuning, apply ML for recommendations and analytics, ensure data quality and A/B testing to drive product decisions.

Lead end-to-end data science and AI projects: translate business problems, prepare large datasets, build and deploy predictive/prescriptive and generative AI models (including LLM fine-tuning and prompt engineering), communicate insights to stakeholders, and promote responsible, explainable AI practices across consulting engagements.

Develop and maintain predictive pricing, retention, and conversion models using GLMs and advanced analytics; build monitoring tools for rating performance; support rate filings, product pricing analyses, competitor research, and cross-functional collaboration to inform pricing and enterprise risk decisions.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

Build, train, and evaluate machine learning models; prototype end-to-end solutions; produce analyses, dashboards, and visualizations; document processes; collaborate with product, engineering, and cross-functional teams to productionize models and support data-driven decisions.

Design, build, and deploy production-grade ML models, LLM/RAG applications, and agentic AI systems using Python and cloud platforms. Perform EDA, create dashboards, diagnose model issues, enforce reproducible practices, and collaborate cross-functionally to deliver scalable AI/ML solutions.

Lead design, execution, and interpretation of A/B tests and quasi-experiments; apply causal inference methods; partner with product, engineering, and marketing; mentor data scientists; build experimentation frameworks; extract and analyze data using SQL and Python; communicate results to stakeholders.

Lead research and experimentation to measure ad campaign performance and effectiveness. Design evaluation frameworks, build measurement solutions, develop models for lift, conversion, and attribution, run experiments and analyses, partner with product/engineering/design/sales, present insights, mentor teammates, and foster technical community and culture.

Lead design and execution of scalable experimentation frameworks for Netflix Ads. Develop auction-based, biddable media models, solve cold-start measurement problems globally, apply causal inference and ML, partner with product and engineering, and translate analytic results into strategic recommendations to optimize marketplace dynamics and member experience.