Top Hybrid Analytics Jobs
The role involves leveraging advanced analytics to extract insights from large datasets, leading teams in AI and GenAI solution development, managing project execution, mentoring team members, and ensuring adherence to professional standards. It requires collaboration with clients to identify problems and design effective AI architectures.
The role involves managing client service accounts, supervising teams, and leveraging technology and data analysis to improve decision-making in deals. Key responsibilities include coaching team members, maintaining quality deliverables, and building tech-driven solutions for client engagements.
As a Senior Associate in Tech & Data Solutions, you will leverage advanced analytics and data visualization techniques to drive insights for clients. Your responsibilities include building tech-enabled solutions, mentoring junior members, analyzing complex problems, and maintaining professional standards while managing stakeholder expectations.
The R&D Head for Digital, Data, and Technology at Takeda leads the integration of AI, data, and digital technologies across R&D. This role focuses on enhancing the speed and quality of discovering, developing, and delivering innovative medicines, and manages the digital transformation efforts company-wide.
The Business Analyst will support the Product Manager in implementing and optimizing LIMS. Responsibilities include gathering requirements, developing user stories, analyzing processes, performing data analysis, collaborating with development teams, and providing training and documentation for users.
As an Associate Director in Advanced Analytics, you will lead the execution of the advanced analytics strategy for Takeda's Oncology Business Unit, focusing on data-driven decision-making to support commercial growth. Your role involves designing and executing key analytics, developing standardized frameworks, and engaging effectively with business users, all while leveraging advanced data science methodologies and analytics tools.
The Senior Business Analyst at Capital One Shopping is responsible for analyzing business challenges, performing product modeling, supporting marketing efforts, and enhancing credit risk strategies. The role requires collaboration across various teams to implement improvements and drive business growth through strategic and analytical insights.
As a Senior Business Analyst at Capital One, you will analyze business challenges, recommend strategic improvements, assist in product modeling and marketing efforts, develop credit risk models, and collaborate with cross-functional teams to enhance business performance.
The Applied Researcher I at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include utilizing a variety of technologies to analyze large data sets, building AI models through their entire lifecycle, and conducting impactful applied research to enhance customer experiences.
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The Data Analyst will provide analytical support across departments, running database queries, creating business intelligence dashboards, and programming tools using Python, Java, or R. Responsibilities include project analysis for clients, refining business data, and enhancing internal tools for efficiency.
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The Senior Credit Risk Analyst will leverage advanced data analytics to optimize credit strategies, develop evaluation frameworks for the credit ecosystem, assist in product pricing strategy, run A/B tests, and collaborate with various teams to enhance credit portfolio performance.
The role involves developing autonomous weapon systems, modeling and simulation support, and conducting operational analysis. Candidates will work collaboratively with project teams and handle system trade studies and proposal development.
As an Intelligence Analyst II, you will lead in identity resolution and data integrity processes, provide operational support for terrorist watchlisting nominations, and respond to complex information requests using various databases. This role requires strong analytical skills and effective communication to navigate intricate organizational structures.
The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.
As an Associate Director of Data Science, you will develop and implement algorithms to solve complex supply chain issues, use machine learning and operations research, and collaborate with various supply chain functions to optimize operations. You will drive strategic planning initiatives and lead analytics teams for continual improvement in processes and metrics.
As a HRIS Analyst, you will support and manage the Dayforce HRIS platform, ensuring data accuracy and integrity. Collaborating with HR and IT, you will optimize the system's functionality, provide reports, troubleshoot data issues, and assist in HRIS projects. Additionally, you will maintain compliance and build relationships across the organization to enhance HR processes.
As a Senior Research Scientist at Kensho, you will develop innovative solutions in Machine Learning and NLP, focusing on complex tasks like long-context QA and document extraction. Collaborate with a team to enhance existing models, create evaluation benchmarks, and engage in academic partnerships, all while utilizing advanced computational resources.
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