Top Remote Data Science Jobs in Las Vegas, NV

Drive the development of financial models and analytics to improve Thyme Care's financial performance and outcomes. Collaborate with department leads to identify key performance indicators and drive standardization of measurement definitions. Support financial reconciliations, forecasts, and analyses for value-based contracts. Requires experience in cost of care analysis, financial modeling, BI tools, SQL, and strong quantitative background.

Develop quantitative/machine learning models to forecast product losses, analyze complex datasets, investigate external credit data, automate models and dashboards, and collaborate with various teams to ensure effective communication of loss expectations and trends.

Design, develop, and program methods, processes, and systems to analyze big data sources and generate actionable insights. Collaborate with product and service teams to identify questions and issues for data analysis and experiments. Develop software programs, algorithms, and automated processes to cleanse and evaluate large datasets. Communicate insights and findings to stakeholders.

Leverage data science background to drive compliance monitoring data analytics initiatives. Confirm compliance with ethical standards and regulatory requirements through advanced data analytics techniques.

Lead technical delivery of strategic projects, apply expertise in data science and machine learning to solve challenges, enhance product offerings, and deliver actionable insights

Seeking a Data Scientist to advance data science initiatives, conduct experiments, and develop data pipelines. Responsibilities include modeling user behavior, forecasting company growth, and driving data-driven insights and actions. Must have a Bachelor's degree in Data Science or related field.

Join Mondelēz International as an Advanced Analytics and Data Science Platforms Manager responsible for overseeing platform-related activities, driving multi-cloud integration strategies, and ensuring the efficient administration and enablement of analytics and data science platforms. Collaborate with cross-functional teams to leverage data and analytics for business growth and innovation. Responsibilities include platform setup, user and access management, resource allocation, monitoring and performance optimization, security and compliance implementation, integrations, troubleshooting and support, upgrades and patches, documentation and training.