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As a Product Manager for data products, you will be working closely with stakeholders across our UX/UI, Data Partnerships, Data Science, and Engineering Teams - helping think through tradeoffs in workflow implementations, visualizations, model approaches, and customer impact.
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Proficient at machine learning algorithms, familiar with algorithms like Generalized Linear Model, Random Forest, CART, and/or deep learning.
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Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI) The Data Science Advisor position will report to the Senior Manager, CRM and Analytics.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Solid exposure to AI and ML: Deep understanding of machine learning algorithms, data science, and related AI technologies. Bachelor’s degree in Computer Science, Engineering, Data Science or related field or equivalent software engineering experience.
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The ideal candidate will possess deep expertise in data science, machine learning, AI, and strategic business acumen. Qualifications:Minimum of 10 years of experience in data science or advanced analytics, with at least 5 years in a leadership role.
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Artificial Intelligence, Machine Learning, Data Processing, Hardware Development, Deep Learning. High Performance Computing, Artificial Intelligence, Machine Learning, GPT3, Foundation Models, Deep Learning, Computer Vision, True Resolution, 3D Image Analysis, Recommendation, AI Platform, Large Language Models, AI for Science, and Generative AI.
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Proven experience with machine learning and deep learning techniques. Master's degree in Computer Science, Statistics, Data Science, or a related field. Foster a collaborative and innovative environment within the data science team, sharing knowledge and expertise with colleagues.
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Strong technical understanding of machine learning and artificial intelligence Deep understanding of personalization and modularization of the product experience. Partner with engineering, design, and data science within your quartet and across cross-functional teams such as Product Compliance to ship solutions that delight customers.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
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We use quick iteration and regular feedback cycles to prototype for customers, both internal and external, to provide Analytics & Solutions , backed with a sophisticated data architecture, that accelerate the flow of work from experimentation to development to production across Machine Learning, Data Science, and Research Science workflows.
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1+ deep learning framework (PyTorch, TensorFlow, Keras) The Data Science organization leverages predictive analytics and data science techniques to support Strive Health's intervention programs.
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Our work supports the Department of Defense and focuses on Cybersecurity & Computer Network Operations, data science and analytics, and user experience design. Knowledge of machine learning methods (neural networks & deep learning) and platforms (TensorFlow, H20.
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Serve as a deep learning domain expert, identify opportunities for the data science roadmap, and influence roadmap prioritization. Udemy is looking for a data scientist to join a team largely focused on exploring and building novel applications of generative AI to improve the teaching and learning experience.
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Undergraduate degree is required; advanced degree in a quantitative discipline such as computer science (especially machine learning), applied mathematics, economics, quantitative finance or engineering is preferred or equivalent practitioner experience.
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