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Top Software Data Science Jobs
The Senior Decision Scientist will enhance SEO strategy through data-driven analysis, keyword research, and experimentation. Collaborating with teams, you will design A/B tests, create dashboards, and build predictive models to boost website visibility and drive organic traffic.
The Data Scientist/Senior Data Scientist will design and deploy Generative AI solutions, collaborate with experts, and drive adoption of AI offerings. Responsibilities include implementing innovative solutions using large language models and machine learning techniques, while ensuring scalable applications for industrial customers.
The Senior Revenue Recognition Analyst is responsible for revenue accounting activities, including reviewing contracts, analyzing transactions, and performing monthly close tasks. This role requires collaboration with various business functions to ensure compliance with ASC 606 and maintain strong internal controls. Additionally, the analyst will assist with audits, lead projects for process improvement, and establish accounting policies.
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As a Staff Applied ML Scientist, you will develop advanced machine learning algorithms to generate insights from large-scale computer networks, specifically focusing on cybersecurity issues. Your role involves utilizing state-of-the-art machine learning and graph learning techniques, fine-tuning LLMs, and building scalable ML products that enhance security policies for users.
As a Senior Data Scientist, you will build data models, dashboards, and reports to provide insights for mobile subscription developers, driving data-informed decisions and enhancing user experience. You will collaborate with teams to improve data pipelines and develop predictive models, ultimately launching new features to benefit customers.
The Supply Chain Analyst II will manage reverse and forward logistics programs, support device refurbishment, and ensure efficient operations with third-party partners. Responsibilities include optimizing processes, managing inventory accuracy, and collaborating with finance for accurate expense tracking.
The Senior Data Scientist will develop and lead machine learning and statistical efforts to address business challenges, analyze large datasets for trends and anomalies, and collaborate with stakeholders to deliver data-driven solutions. Responsibilities include creating ML models and enhancing data processes.
The position involves leveraging large datasets to drive data-driven decisions for government clients. Responsibilities include designing experiments, building predictive models, optimizing processes, and collaborating with various teams to implement scalable statistical systems.
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.
As a Senior Data Scientist at Attentive, you'll lead the development of machine learning models and statistical analyses to enhance AI products. Responsibilities include designing experiments, interpreting data, collaborating with teams, and presenting insights to senior leadership to drive strategy and improve product performance.
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