Top Data Science Jobs
As a Senior Revenue Data Analyst, you will develop a comprehensive data repository for revenue analytics, create reports and dashboards, and support decision-making processes through advanced data processing and analysis. You will collaborate with teams to optimize processes and ensure data quality and compliance, while presenting your findings to management and working independently in a fast-paced environment.
In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.
As a Senior Data Scientist at Entefy, you will influence the future of productivity through advanced analytics. Responsibilities include delivering insights from structured and unstructured datasets, leading other data scientists, and employing strong data visualization skills.
Featured Jobs
As a Data Scientist at Similarweb, you will deliver data analysis to support consulting teams and clients. Responsibilities include collaborating on custom data analysis projects, utilizing technologies like web scraping, and ensuring data availability for specific client needs, ultimately driving business impact through analytical insights.
The Senior Scientist, Process Development will design and conduct experiments to enhance Kytopen’s Flowfect® technology, lead scientific efforts on strategic and customer projects, and collaborate with engineering teams and external partners. Responsibilities include performing in vitro assays, statistical analysis, preparing reports, and maintaining lab protocols.
The Principal Research Scientist will lead the GMC membrane R&D team, developing innovative porous metal membranes for gas filtration in the semiconductor industry. Key responsibilities include project leadership, utilizing powder metallurgy and additive manufacturing techniques, and creating comprehensive technical reports and documentation based on experimental results.
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.
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.
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