Top Senior Level Data Science Jobs
The Senior Research Scientist will lead advanced research and development activities focusing on machine learning and signal processing. Responsibilities include leading programs and proposals, developing mathematical algorithms, software related to signal/image processing, and presenting findings to stakeholders.
The Senior Revenue NPI Analyst will handle organizational tasks related to revenue recognition for new products, write functional specifications for revenue systems, and work with SAP tools in an enterprise-wide transformation context. The role demands strong communication skills and a passion for numbers, while collaborating across various business functions.
The Private Equity Data Scientist will use data to enhance investment decision-making processes, develop predictive models, and drive digital transformation initiatives. Responsibilities include collaborating with management teams, designing dashboards, monitoring company performance, and implementing data-driven strategies for operational improvement and growth.
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The Senior Manager of Data Science oversees the implementation of solutions for identifying complex patterns in large data sets. Responsibilities include leading a team to design and deliver AI/ML solutions, collaborating with product teams, and ensuring alignment with business needs and technological trends.
The Credit Analyst evaluates and monitors global credit investments by determining corporate creditworthiness through qualitative and quantitative analysis. Responsibilities include financial statement analysis, monitoring credit quality, researching company backgrounds, and presenting recommendations to portfolio managers, while also tracking macroeconomic indicators and contributing to ESG integration in credit research.
As a Staff Data Scientist at Aircall, you'll lead data-driven projects focusing on AI and machine learning to optimize operations and enhance business success. Your responsibilities include overseeing the entire model lifecycle, mentoring team members, collaborating with AI engineers, and communicating insights to stakeholders, all while fostering a culture of experimentation and maintaining high standards in data governance.
The Senior Data Scientist will develop machine learning models to enhance products and solutions at DICK’S Sporting Goods, conducting data-driven analyses, and providing actionable insights. Responsibilities include advanced analytics, data collection, and improving data strategies to boost business performance.
The Senior Scientist will develop and optimize computational models for wildfire modeling, analyze large datasets, evaluate trends in wildfire activity and climate drivers, and create technical documentation and presentations. The role involves collaboration with various stakeholders to enhance existing models and deploy them for new applications.
The Lead Data Scientist will transform data into actionable insights for marketing strategies using advanced analytics and machine learning. Responsibilities include collaborating with teams, developing predictive models, optimizing marketing initiatives, and providing strategic recommendations based on data analysis to enhance customer acquisition and retention.
As a Senior Data Scientist, you will lead the creation of statistical and machine learning models, design experiments, analyze product performance, and collaborate with various teams to enhance AI product offerings. Your insights will drive strategic decisions and improve messaging strategies based on data-driven conclusions.
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