Top Data Science Jobs in Lincoln, NE

The Product Data Scientist will develop data-driven solutions for enhancing player experience, analyze game telemetry, and innovate game analytics tooling.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

The Senior Data Scientist will develop AI solutions, design autonomous AI systems, and collaborate across teams to influence business strategies using data science. They will focus on building and maintaining machine learning models for healthcare improvement.

Lead Data Scientist responsible for developing AI solutions and managing machine learning models while collaborating with MLOps and DevOps teams to enhance healthcare outcomes.

Lead the development of reliable AI systems, manage data science strategies, and ensure effective integration of AI into healthcare solutions.

Lead Data Scientist to develop AI systems focusing on safety, alignment, and ethical deployment while collaborating on AI methodologies and continuous monitoring strategies.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

As a Senior Data Scientist, you will design AI systems, develop machine learning models, and collaborate with teams to implement AI solutions for healthcare improvements.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

Lead the design of human-aware AI systems to enhance human-AI interaction through robust machine learning pipelines and evaluation metrics.

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

As a Senior Data Scientist, you will develop predictive models and algorithms to optimize marketing bidding strategies, enhancing growth and profit at Root.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

The Data Scientist will enhance Smart Signals accuracy using data science and ML techniques, collaborating with engineers and data scientists.

Lead and mentor data science teams to develop experimentation techniques for the ads business and drive data-driven decision making at Netflix.

Design and validate machine learning models for financial crime compliance, improve data pipelines, and analyze large datasets to mitigate risks in the crypto and fiat ecosystems.

Seeking a Senior Data Scientist to guide analytics for Yahoo Games, focusing on player behavior and product strategies. Responsibilities include audience analysis, KPI definition, and collaboration with product teams to enhance game experiences.

The Senior Data Scientist will develop generative AI solutions, engineer ML workflows, analyze ServiceNow data, and collaborate on technical solutions, aiming to enhance business intelligence through data-driven insights.

Seeking a Principal Data Scientist to guide AI innovation and develop responsible, interpretable AI systems to improve healthcare outcomes. Lead collaboration with teams to integrate AI into business systems, ensuring compliance and effectiveness in healthcare applications.

Lead research initiatives using real-world data to revolutionize drug discovery. Mentor team members, manage complex projects and collaborate on observational study designs.

Lead marketing measurement models, analyze user acquisition performance, design experiments, and automate reporting. Collaborate across teams to align models with business goals.

As a Senior Data Scientist, you'll drive product strategy, analyze data for insights, collaborate across teams, and mentor junior staff.

Lead the data discipline for Wolf Games by designing a scalable data ecosystem that drives AI systems and enhances player experiences.

The role involves building machine learning algorithms, implementing data cleaning processes, and developing predictive models in the energy sector.

Lead the design and implementation of machine learning models for demand forecasting in hospitality, focusing on Bayesian modeling and model deployment.