Top Hybrid Data Science Jobs in Dallas, TX
End-to-end preparation of data, development of dashboards, speed-to-market analytics, data storytelling, project management, automation of processes.
Individual contributor position in the Emerging ML team at Capital One focusing on data science and machine learning. Responsibilities include building machine learning models, partnering with business teams, and writing software to analyze data.
The Data Scientist at PwC will collect domain context, define hypothesis and prediction tasks, develop models, conduct experiments, automate training and predictions, and communicate insights with stakeholders. The role also involves problem-solving, coaching, and building trust with teams and stakeholders.
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Diverse team working on machine learning and AI solutions for maintenance and supply chain of the F35 jet. Requires data engineering, visualization, storytelling, and communication skills. Ideal candidate should have 4+ years of experience in Data Science, Data Analytics, or Software Engineering with a Bachelor's degree in a relevant field.
Motivated data scientist needed to improve algorithms in risk adjustment and expand product offerings in healthcare. Opportunity to develop novel models and impact millions of patients.
Collect and analyze data related to consumer behavior, market trends, and campaign performance. Develop and maintain statistical models to predict consumer behavior and campaign performance. Collaborate as part of a team to drive analyses, insights, and customer presentations.
Design, build, and deploy complex systems to model and glean insights from large datasets using machine learning and statistical modeling. Collaborate with cross-functional teams to implement data-driven solutions. Apply innovative machine learning techniques to solve complex problems in adtech.
Top hybrid Companies in Dallas-Fort Worth, TX Hiring Data + Analytics Roles
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