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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Business Card & Payments Data Science team builds industry leading machine learning models to empower credit underwriting decisionings, supports advancement in Capital One business card product strategies, decisioning and credit infrastructures.
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Strong knowledge of AI and ML algorithms and hands-on experience in using tools like Azure ML or AWS SageMaker to implement and deploy the models. Hands on experience in SQL and Tableau.
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Hands-on experience with natural language processing techniques including Sentiment analysis, Word embeddings. Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline.
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Experience with clinical, and/or next-generation sequencing (NGS) and/or multimodal real-world data (RWD) is required; hands-on experience (data organization, utilization and/or analytics) in clinical oncology data (EMR, oncology clinical trial dataset, and/or cancer registry dataset, etc.
$160,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Capital team is looking for a hands-on Senior Data Scientist II to undertake multiple advanced analytics initiatives like Forecasting, Predictions etc that will enable us deliver Operational Excellence and provide actionable insights to business users.
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Bachelor s degree in Mathematics, Engineering, Data Science. Experience with data visualization tools like Tableau, Kibana, etc. 8+ years of professional experience as a data scientist executing complex analytical projects.
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5+ years hands-on experience in designing and implementing AWS Data Science and Machine Learning solutions. · Demonstrate deep expertise in AWS services, with a focus on SageMaker, and other relevant data science and machine learning services such as Kendra, Textract, Comprehend.
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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Mgr, Data Science. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Deep hands-on experience in machine learning, relational databases, and open source programming languages (Python, R) for large scale data analysis. Strong knowledge of data science technologies and machine learning concepts and have experience developing models from research, to a proof of concept, to a production pipeline.
$140,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence technologies, and evaluate their potential impact on our business and industry.
$285,000 - $315,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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5+ years of hands on experience in Data Science focused positions building machine learning and statistical models (regression analysis, cluster analysis, optimization, CLV, etc.
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data science learning hands on jobs Title: science in Manhattan, NY
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Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.