Top Data Science Jobs
The Data Scientist at WellSky will analyze operational and financial data to provide actionable insights, collaborate with various teams to enhance reporting and forecasts, and monitor effectiveness of plans to support business objectives.
As a Data Analyst (Revenue), you will analyze client portfolios and revenue streams, ensuring system reconciliation. You will create SQL tables, monitor billing accuracy and discrepancies, and collaborate with various departments to drive resolution and operational improvements. The role demands solid analytical and communication skills.
As a Data Scientist II, you will lead data analysis and machine learning initiatives, collaborate with stakeholders, develop statistical models, and mentor junior data scientists to drive data-informed business solutions.
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The Associate Research Scientist I supports project management by conducting quality evaluations, participating in study design, data gathering, and reporting for studies. Responsibilities include overseeing project material, engaging in customer liaison, and fostering relationships with internal and external groups.
The Sr. Data Scientist will maintain and create Power BI reporting solutions, collaborate with cross-functional teams to understand requirements, implement data engineering solutions, validate analytical tools, and provide insights to improve business objectives using data.
The Senior Data Scientist at McKesson will analyze complex datasets, develop predictive models, and collaborate with cross-functional teams to drive data-driven business solutions. Responsibilities include building data pipelines, executing experiments, and communicating insights to stakeholders.
As a Data Transformation Specialist/Database Developer, you'll modernize legacy data tools into efficient systems for the Navy Self Defense Systems Division, manage data migration, optimize database structures, and develop user-friendly reports and dashboards using tools like PowerApps and Power BI.
The Staff AI Scientist will develop and deploy AI and machine learning methods for analyzing large healthcare datasets. Responsibilities include designing algorithms for automation of clinical tasks, statistical analysis to ensure algorithm accuracy, researching new technologies, and collaborating on innovative AI capabilities.
As a Supply Chain Data Scientist, you will develop advanced analytical models and tools to enhance supply chain operations, implement AI and machine learning solutions, and support reporting systems using Power BI. You will collaborate with cross-functional teams to drive strategic projects and address business needs through data science methodologies.
As a Senior Data Scientist, you will leverage your expertise in machine learning and statistical analysis to develop algorithms and models that optimize marketing campaigns and improve customer loyalty. You will collaborate with cross-functional teams to design and implement data-driven solutions, analyze large datasets, conduct A/B testing, and mentor junior team members.
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