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As a Principal Data Scientist, you will collaborate with a team to develop machine learning models and gain insights from large datasets. Your responsibilities include leveraging technologies like Python and AWS, translating complex data into business objectives, and leading projects that enhance commercial banking solutions.
As a Principal Quantitative Analyst at Capital One, you will partner with cross-functional teams to assess the compensation system, utilize Python and SQL to build statistical models, provide insights impacting associates, and communicate results effectively. Strong quantitative analysis, machine learning, and econometric analysis skills are essential for success in this role.
Join Capital One as a Principal Quantitative Analyst in People Strategy & Analytics, responsible for assessing compensation systems, building statistical models, providing key insights, and shaping talent policy. Utilize Python, SQL, and Quicksight to drive decisions impacting 50,000+ associates. Strong quantitative analysis skills and expertise in machine learning and econometric analysis are essential for success in this role.
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The Data Scientist will design and deliver models and analyses to support Capital One's talent strategies, focusing on areas such as talent attraction, diversity, and productivity. This role involves leveraging data science tools and methodologies to develop insights and high-impact solutions related to human capital challenges.
The role involves applying data science to enhance Capital One's talent strategies by designing models, conducting research, and delivering analyses. Responsibilities include tackling human capital issues through innovative solutions, data science skills, and statistical methods, with a focus on understanding associate behavior and productivity.
As a Senior Associate, Data Science in People Analytics at Capital One, you will be responsible for designing and delivering modeling, research, and analysis to support talent strategies. The role involves applying data science skills to understand associate behavior, improve talent attraction and retention, and enhance executive pipeline diversity. The ideal candidate is passionate about human capital, innovative, creative, technical, and statistically-minded. Basic qualifications include a Bachelor's Degree with 2 years of data analytics experience, experience in open-source programming languages, machine learning, and relational databases. Preferred qualifications include a Master's Degree in a STEM field with 3 years of data analytics experience, proficiency in AWS, Python, PyTorch, Scala, R, machine learning, and SQL.
As a Data Scientist in the Generative AI Systems team at Capital One, you will train and customize large language models for dialogue and image processing, collaborate with software engineers and product managers, build machine learning models, and contribute to top-tier NLP research. You will leverage technologies like PyTorch and Spark to extract insights from large datasets and enhance customer experiences through AI solutions.
As a Data Scientist at Capital One, you will train and customize large language models, partner with cross-functional teams to develop customer-centric products, and leverage technologies such as PyTorch and Hugging Face to analyze big data. You'll be involved in building and evaluating machine learning models and contribute research to leading NLP conferences.
The Manager, Data Scientist at Capital One will be leading the Generative AI Systems team to develop AI-based solutions for various applications like dialogue, text summarization, speech recognition, image processing, and time-series modeling. The role involves training and customizing large language models, collaborating with cross-functional teams, and contributing research to top-tier NLP conferences.
As a Senior Data Scientist at Capital One, you will partner with data scientists, software engineers, and product managers to develop machine learning models, translate complex insights into relatable business goals, and leverage a broad technology stack for data analytics.
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