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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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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 6+ months ago - UpvoteDownvoteShare Job
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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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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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This program will prepare students for jobs in new and emerging fields and enable them to gain proficiency and hands-on competencies in areas including information computing; optimization; data analysis and management; applied mathematics and statistics; ethics; and critical-thinking and problem-solving skills.
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Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: data science, cybersecurity, machine learning, artificial intelligence, data structures and algorithms, software engineering, operating systems, computer networks, and databases, either through a record of teaching excellence, or through industrial experience.
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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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Center 2 (19050), United States of America, McLean, VirginiaManager, Data Science - Consumer Identity Machine Learning. San Francisco, California (Hybrid On-site): $213,400 - $243,500 for Manager, Data Science.
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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.
$145,400 - $242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. Hands-on experience with production-grade machine learning solutions and/or software development.
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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 1 month ago - UpvoteDownvoteShare Job
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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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You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems. The Growth Data Science team helps businesses accelerate their journey to accept payments on Stripe, and find the financial products they need to grow their business.
$207,800 - $311,600 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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More than 10 years of hands-on Experience with Big Data frameworksPractical experience with Machine Learning and Deep Learning, GenAI techniquesExperience developing data products, technologies and platformsExperience with Public Cloud technologies such as AWS or Google CloudExcellent communication skills: Ability to translate technical and analytical metrics into simple content and present to business partners as well as senior leadership.
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In private equity, we collaborate closely with deal teams to quantify potential sources of corporate value through data science. The program commences with several weeks of training at Blackstone's New York City office, providing hands-on experience within BXDS. Following the training period, participants will embark on two years of rotational assignments, stationed at various Blackstone portfolio companies.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago
data science learning hands on jobs Title: science in New York, NY
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