Top Data Science Jobs
The SVP will lead the Data, AI, and Automation organization, driving a strategic transformation across global operations. They will develop and implement a comprehensive AI and data strategy, collaborate with cross-functional teams to integrate solutions, and ensure performance measures align with business outcomes, emphasizing digital innovation and talent development.
The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
The Lead Data Scientist will drive the delivery of AI/ML solutions in the retail sector. Responsibilities include leading teams, managing data science projects, utilizing algorithms for customer segmentation, forecasting, and optimizing marketing strategies. The role requires collaboration with stakeholders and a strong understanding of end-to-end data science processes.
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As a Field Application Scientist, you will support sales and customers with technical expertise on products related to proteomics. Responsibilities include conducting demos, managing technical support, collaborating with internal teams, and ensuring instrument utilization. The role requires excellent communication skills and a background in life sciences.
The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.
The Bioinformatics Scientist will assist in designing and developing a software platform for data storage and analysis crucial to drug design. Responsibilities include developing solutions, collaborating with teams, ensuring software quality, and managing complex biological data integration.
The Data Scientist will focus on data cleaning, curation, and labeling to ensure the quality and usability of ophthalmic data for machine learning projects. Responsibilities include designing data cleaning processes, maintaining preprocessing pipelines, curating data, managing labeling projects, and collaborating with various stakeholders.
The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.
As a Senior Data Scientist at Discord, you'll collaborate with various teams to conduct deep analytics, build dashboards, track KPIs, and implement A/B testing to enhance user experience and support product development. You'll be responsible for translating complex data into actionable insights and engaging with both technical and non-technical stakeholders.
The EDI Implementation Analyst II at Availity is responsible for setting up, installing, and managing technical systems for clients, including data mapping and training. They test system functionalities and collaborate with product teams for improvements, focusing on moderate to complex implementations. The role includes managing relationships with payers and vendors and creating necessary documentation for integration objectives.
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