Top Data & Analytics Jobs
As a Senior Data Scientist at Tovala, you will develop demand models, design causal models, and use simulation techniques to support strategic decisions. You'll collaborate with analysts to create actionable solutions, optimize models for efficiency, and contribute to data governance and strategy, while managing multiple simultaneous projects.
As a Data Architect at Awardco, you will design and maintain data infrastructure and pipelines, ensuring high-quality data accessibility. Your role involves strategic account planning, relationship development, consultative selling, and collaboration with cross-functional teams to address client needs effectively, while also representing Awardco at industry events.
As a Senior Data Scientist at Duolingo, you will analyze data and communicate insights to drive strategic decision-making and business growth. You will collaborate with technical teams, develop analytical solutions, and mentor junior scientists while leading the implementation of data-driven changes to improve the app experience.
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The Senior Analytics Engineer will lead data-driven analyses and develop visualizations, dashboards, and reports for MLB's Strategy & Development team. Responsibilities include transforming data, advising senior management, and enhancing decision-making across the league.
The Senior Data Scientist will design, deploy, and manage predictive models using Machine Learning in the healthcare domain, working closely with Product and Data Engineering teams. This role involves mentoring junior scientists, improving strategies based on model outputs, and integrating automated MLOps processes while managing large projects with minimal oversight.
The Business Analyst collaborates with stakeholders to gather, analyze, and validate business requirements and administrative processes. Key responsibilities include documenting requirements, facilitating discussions, developing test plans, and managing project schedules. The role emphasizes effective communication, analytical thinking, and collaboration to enhance operational effectiveness and customer experience.
The Artificial Intelligence Integrator will support NATO's wargaming capability development by integrating AI techniques. Responsibilities include collaborating with experts, enhancing wargaming activities, developing AI-related materials, conducting experiments, and providing data analytics to improve decision-making processes.
The Staff Machine Learning Engineer will lead the development and deployment of algorithms for robotic manipulation, including behavioral cloning and reinforcement learning. Responsibilities include collaborating with hardware and software teams, conducting simulations and real-world testing, and staying updated on advancements in robotics.
The Director of Data Science & AI will lead a team in developing and deploying advanced analytics and AI techniques. Responsibilities include innovation in AI solutions, collaboration with various teams, and effective communication of complex ideas to leadership, ensuring the impactful application of data science in the mortgage industry.
The Data Scientist AI/ML Expert at Stellar Science will develop and apply AI/ML models to analyze scientific and engineering data, enhance modeling accuracy, and contribute to complex software projects. Responsibilities include utilizing various machine learning concepts and frameworks to process and visualize large datasets.
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