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Top Software Data Science Jobs
As a Finance Data Scientist at Genesys, you will utilize advanced machine learning and statistical techniques to drive data-driven decisions, optimize revenue streams, and improve operational efficiency. Your role includes developing and deploying models, collaborating with cross-functional teams, and ensuring model interpretation and performance evaluation to inform business strategy.
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The Credit Risk Analyst will perform data analysis across marketing channels to optimize credit risk and origination. They will utilize statistical tools for business strategies, manage data retrieval and analytics, forecast delinquency and losses, present findings, design experiments, and collaborate across various teams in the organization.
Revenue Operations Analyst responsible for turning data into critical information for the GTM team to make sound business decisions. Key responsibilities include creating reports, analyzing processes, driving process optimization, and supporting sales leadership. Requires 1-3 years of experience in operations or financial planning within a SaaS business, strong quantitative capabilities, Salesforce expertise, and proficiency in Excel.
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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.
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As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
As a Data Scientist at Applied Physics, you will collaborate with scientists to develop algorithms and software solutions for data analysis. Responsibilities include designing technical solutions, managing software development phases, and integrating components for information systems.
The Research Scientist will push forward the fields of AI and biology, contribute to the company's research roadmap, and lead projects in foundation models. Responsibilities include collaboration with partners, implementing software for research, and engaging in the scientific community through publications and open source releases.
As a Quantum Scientist, you will collaborate on developing and advancing heterogeneous quantum networks, enable practical applications like signal processing, and push the boundaries of quantum information through simulations and research. Your role involves conducting research, creating models, and innovating technologies to enhance quantum networking and sensing capabilities.
The Data Scientist & Researcher will develop bioinformatics algorithms for genetic analysis software, maintain applications for data processing, and analyze bioinformatics data. Responsibilities include implementing alignment analysis for forensic genetics, retrieving information from various databases, and improving detection methods for genetic data accuracy.
As a Data Scientist at Perplexity, you will develop data-driven insights, design and analyze A/B tests, create dashboards, and collaborate across teams to drive product decisions. You will work with user behavior metrics and improve data accessibility to enhance the product roadmap.
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