Top Senior Level Data Science Jobs
As a Senior Data Scientist, you will leverage advanced analytics tools to develop data-driven solutions and lead end-to-end data science projects. Responsibilities include building predictive models, applying statistical methods, collaborating with teams, and delivering actionable recommendations to stakeholders, while staying updated on emerging Microsoft technologies.
As a Senior Revenue Technology Analyst at Invoca, you will manage and develop revenue technology for Sales and Marketing. This role involves project management, administration, and analysis. You will collaborate with teams, maintain Salesforce applications, drive process improvements, and support user training. The position requires expertise in the Salesforce ecosystem and a commitment to enhancing efficiency.
Senior Programmer Analyst responsible for providing expert-level technical direction and support in the development of business systems software and procedures. Leads analysis, design, programming, and implementation projects and provides mentorship to team members. Conducts reviews of computer technology developments, analyzes system requirements, and assists in disaster recovery planning. Oversees daily performance of co-workers.
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As a Data Scientist at Figma, you'll enhance the efficiency of data practitioners by improving data quality, developing tools, and applying statistical methods to enhance analysis. You'll collaborate across teams to identify opportunities and gaps in data, establish governance processes, and mentor colleagues.
As a Data Scientist at Pacaso, you will analyze data to provide insights, collaborate with various teams, and support advanced analytics initiatives. Responsibilities include data cleansing, defining performance metrics, communicating findings, and building models to understand customer growth.
As a Staff Data Architect at Credit Karma, you will design and implement scalable data solutions for the 360 Member Financial Profile, collaborate with stakeholders to understand their needs, enforce data architecture standards, and optimize data infrastructure for efficiency.
The Senior Data Scientist leads the design and development of AI solutions, evaluates algorithms, communicates insights, develops customized models, identifies data-driven opportunities, and maintains expertise in advanced technologies to meet business objectives and enhance productivity.
The Principal Scientist in Bioinformatics Data Science leads data analytics and engineering projects aimed at accelerating R&D. They apply computational methods, AI, and machine learning to integrate and analyze diverse datasets for therapeutic development, collaborating with biology and platform teams. Responsibilities include developing computational workflows and contributing to scientific presentations.
As the Principal Scientist in Analytical Development, you will lead the advancement of pharmaceutical projects through IND-enabling and clinical stages, focusing on critical CMC analytical development to support small-molecule protein degraders. Responsibilities include method development, validation of test methodologies, overseeing stability programs, managing analytical development at contract labs, and authoring CMC analytical sections in regulatory filings.
The Revenue Cycle Manager oversees medical billing processes, ensuring accurate coding and efficient revenue management. They implement billing system configurations, manage revenue cycle reports, and liaise with clients and the billing department. The role requires supervisory capabilities and expertise in handling payer interactions and audit assistance.
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