Top Data & Analytics Jobs

The Sr. Data Scientist at Zoro will lead projects involving customer segmentation, A/B testing, and pricing analysis, while collaborating with business leaders to develop data-driven strategies. Responsibilities include building predictive models, documenting processes, and communicating findings through visualizations and presentations.

Seeking a skilled Behavioral Scientist on a contractual basis to develop evidence-based interventions for adult learners returning to school. Responsibilities include translating academic challenges into actionable strategies, adapting interventions across multiple channels, collaborating with marketing and product teams, and applying expertise in higher education and adult learning principles.

As a Research Scientist at Deepgram, you will innovate and build advanced voice AI solutions, utilizing deep learning to train models that interpret speech and comprehend text. You will drive large-scale training, optimize models, and collaborate with product and engineering teams to deploy AI capabilities.

Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.

Seeking a Senior Data Engineer to maintain and improve data infrastructure, lead data team, and enhance data processes at Artera, a patient communication platform for healthcare providers. Responsibilities include continuous enhancement, strategic leadership, troubleshooting, and collaborative innovation.

The Data Engineer I at Strive Health focuses on building pipelines using data from various sources including claims and clinical data to operate kidney care services at scale. This role involves analyzing source system data, ensuring data quality, and supporting the development of cloud-based architecture components.

Utilize data analysis tools and business intelligence software to track revenue performance and trends, generate reports and insights on key revenue metrics, collaborate with teams to develop accurate revenue forecasts, evaluate sales processes, analyze pricing strategies, and communicate analytic solutions to stakeholders.