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The Principal Consultant will lead cloud data management and analytics initiatives for life sciences clients, ensuring the timely execution of projects and fostering client relationships. This role involves providing strategic leadership, overseeing innovative solutions, and driving delivery excellence in data transformation and cloud-based technologies.
As a Staff Data Engineer, you will drive data platform initiatives, design and optimize data architecture, and implement ETL/ELT processes for analytics and reporting, enhancing insights through machine learning and generative AI technologies.
In this role, you will support the Hive Media team by conducting analysis, managing client projects, collaborating with various teams, and delivering innovative solutions for clients in the media industry while adhering to industry best practices.
You will build Cash App's customer support chatbot, utilize smart tooling, engineering high-throughput ML models and mentor other team members. You'll work with Product, Design, and Engineering teams to enhance customer support experiences through advanced machine learning techniques.
The Senior Data Scientist will collaborate with product, engineering, and analysts to enhance bot detection and develop detection algorithms. Responsibilities include researching detection frameworks, supporting Data Science best practices, participating in code reviews, and improving data and ML infrastructure.
The Sr. Data Scientist will collaborate with partners to provide actionable insights from data analysis, model and experiment with data to drive strategic decisions, and develop predictive models to forecast trends within attractions, ensuring model effectiveness over time.
As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning, analyze data to identify trading opportunities, and build models for pricing financial derivatives in a collaborative research team.
The Research Scientist will apply scientific expertise to advance Google DeepMind's mission, focusing on developing methods for teaching large language models to graphically explain concepts, creating evaluations for performance, exploring multimodal AI across various domains, and contributing to training and publishing research on the Gemini project.
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As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.
The Senior Data Scientist will lead initiatives using data mining and advanced modeling techniques to provide insights for DTN’s customers in agriculture, oil, gas, and weather sectors. Responsibilities include implementing predictive models, conducting feasibility studies, and creating visualizations to communicate results while collaborating with stakeholders to address their needs.
The Data Scientist will collaborate with domain experts to translate requirements into data science tasks, perform exploratory data analysis, and develop machine learning models. Responsibilities include integrating diverse data sources, creating data visualization tools, conducting spatiotemporal analyses, and staying updated with advancements in the field.
As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.
The Data Scientist will design and implement advanced machine learning models for real-time anomaly detection, automate data discovery from a global honeypot network, and enhance product features through AI/ML techniques. Collaboration with cross-functional teams and direct customer engagement will be essential.
As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.
As a Lead Data Scientist, you will focus on improving the Fingerprint Pro Identification Service by applying advanced data science and machine learning techniques. You will lead technical strategies, mentor engineers, and oversee data science projects from concept to deployment, integrating with the identification platform and enhancing the team’s technical expertise.
The Principal Data Scientist leads the development of data-driven solutions, employing advanced analytics and machine learning to derive actionable insights. This role involves managing complex projects, collaborating with cross-functional teams, and developing training materials to enhance data literacy across the company.
As a Senior Data Scientist on the Search Ranking Team, you will analyze large datasets, build and deploy machine learning models, and improve product search relevance. Your work will focus on solving complex problems in machine learning, NLP, and computer vision to enhance user experience and drive business results.
As a Senior Manager in Data Science, you will lead a team of data scientists and machine learning engineers to create and implement AI models and applications that support Walmart's finance department. Responsibilities include model development, managing a team, and collaborating on cross-functional projects to leverage Walmart's extensive data.
The Staff Data Scientist will lead the development of generative AI models for e-commerce data, optimize advertising campaigns using advanced machine learning techniques, conduct experiments to validate model performance, and collaborate with leadership to enhance the advertising ecosystem.
As a Research Scientist, you will work on improving vision, multimodal models, and mobile robots, contributing to projects in computer vision, NLP, AI, and robotics. You will lead projects, mentor interns, and co-author scientific papers. The role includes collaboration with internal and external researchers and presenting findings at conferences.
As a Staff Machine Learning Engineer, you'll lead the development of AI solutions, working with application teams and data scientists to build a reliable AI infrastructure at Robinhood. You'll oversee high-impact projects for a centralized AI platform, ensure seamless integration, and drive the implementation of effective ML models and data access strategies.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
The Staff Data Scientist will develop and validate predictive models using advanced machine learning techniques to facilitate fraud detection. This role involves conducting research on emerging modeling technologies, improving processes through MLOps, and collaborating with cross-functional teams to deploy models. Additionally, the role requires managing model risks and conducting analytical analyses for client inquiries.
As a Data Science TLM Manager, you will shape Airbnb's search and personalization strategy by leading a team of data scientists, developing specialized models for the recommendation platform, and ensuring collaboration between the relevance team and product organization to enhance user experience.
As a Principal Machine Learning Engineer, you will lead the development of recommendation systems for Disney's streaming platforms, collaborating with product and data science teams. You will research and optimize algorithms, manage stakeholder expectations, and help meet key performance indicators while setting the roadmap for personalization features.
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