Top Remote Senior Level Data & Analytics Jobs in Dallas, TX

The VP, Data Analytics will lead a centralized data analytics team, fostering collaboration across departments to establish data integrity and analytics excellence. Responsibilities include overseeing Analytics Engineering, Product Analytics, Business Intelligence, and Data Science functions, driving data-driven decision-making, and building an inclusive culture.

As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.

Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.

As a Data Scientist at BrightAI, you will extract insights from complex datasets using statistical analysis and machine learning. Responsibilities include developing predictive models, visualizing data, collaborating with teams for deployment, and adhering to data governance standards while staying updated with data science advancements.

Oscar is hiring a Senior Manager, Data Science to lead a team of data scientists in leveraging data for enhancing healthcare services. Responsibilities include translating business goals into plans, managing a team, and collaborating with cross-functional teams. The role offers a salary range of $174,400 - $228,900 per year and is based in New York City, Tempe, or Los Angeles with remote options available for residents of specific states.

Seeking a Sr. Data Scientist to lead the development of measurement models for marketing stakeholders, conduct in-depth analyses, design experiments, and optimize marketing campaigns. Collaborate with cross-functional teams to achieve marketing goals and enhance marketing measurement capabilities.

Support the Data Migrations Profession Services Teams, engage in complex debugging and remediation, build solutions, automate issue detection, contribute to migration improvements, participate in On-Call schedule rotation, write data defect reports, participate in Code Reviews and Lessons Learned sessions.