Top Data & Analytics Jobs
As a Staff Software Engineer on the Marketing Data Science team, you will lead R&D for data science products, collaborate with engineering and product teams, support stakeholders, and educate colleagues on data science applications in marketing and advertising.
The Scientist will develop and validate epigenetics-based assays and oversee a team testing antibodies in CUT&RUN, CUT&Tag, and ChIP assays. Responsible for maintaining a robust testing pipeline, collaborating with cross-functional teams, and ensuring high-quality data delivery.
The Staff Research Scientist will focus on the pathophysiology of neurological and psychiatric disorders, conducting advanced electrophysiological experiments and data analysis. The role requires independence in experimental design, strong technical skills, and effective communication, while collaborating with a team to generate informative research data.
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The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
The MDM Engineer is responsible for ensuring the quality and governance of Master Data Management at Cymer, developing MDM frameworks, managing data quality, collaborating with teams, facilitating stakeholder communication, and overseeing compliance. They will also conduct data analysis, manage KPI dashboards, and foster MDM awareness across the organization.
As a Low-Latency Rust Data Engineer, you will develop and maintain high-performance data pipelines, integrate exchange data, and support trading teams with efficient data architecture in a fast-paced trading environment.
As an AI Research Scientist, you will conduct applied research to advance machine learning techniques in energy markets, investigate new technologies, design solutions for unsolved problems, and publish findings in academic papers. Key responsibilities include developing mathematical understandings of energy systems, analyzing experiments, and implementing ML techniques.
Seeking a bioinformatician/computational biologist to lead the execution of bioinformatic workflows for processing and characterization of bacterial strain genomes and stool metagenomes. Responsibilities include developing bioinformatic methods for studying bacterial strain colonization, predicting bacterial strain function, and applying algorithms for taxonomic clustering in microbial communities.
As a Data Scientist, you will enhance contact center solutions by developing advanced NLP algorithms and models. Your role involves collaborating on business problems, building deep learning and machine learning models, and communicating technical concepts to stakeholders.
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