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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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As a Data Scientist, youll use your full toolkit statistical modeling, machine learning, data mining, data visualization, and software engineering to develop data products and models that are used by millions of users and power the growth of our business.
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We are looking for a Senior Data Scientist to lead the development and improvement of cutting-edge machine learning and deep learning models powering Walmart Customer Modeling.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Additionally, we are dedicated to crafting exceptional data infrastructure and innovative solutions in the realms of data science and machine learning. Stay up-to-date with the latest advancements and trends in machine learning and data science and apply them to evolve the measurement system.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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You have 3+ years of experience as a Data Scientist or Machine Learning Engineer. Design, develop, and optimize machine learning models and algorithms for various applications, including computer vision, NLP, and audio/video processing.
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Ph. D. or research focused Masters or Masters with at least three years of experience as an applied scientist in machine learning /NLP. Advance state of the art in machine learning for primary healthcare by jointly contributing to product-focused applications and research-focused publications in top-tier conferences.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Be a close business partner and credible advisor to Jerrys entire leadership team by connecting the dots between data, insights and impact.
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We work on a broad range of machine learning problems across NLP/NLU, image generation, and speech perception. 4+ years experience as an ML engineer/researcher working with modern Machine Learning toolkits (Python stack, very comfortable with PyTorch.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Successful candidates will also have practical experience building large scale ETL pipelines on AWS or GCP for data engineering, feature extraction, statistical analysis, and correlations.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. The Underwriting systems engineering team is the main interface between the world of ML and product engineering, and as such your work will include everything from backend engineering, developing data pipelines, to creating features, and working with rules engines.
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Strong technology proficiency in one or more of the following areas is highly desired : Aladdin technology suite, data model & data feed interaction, API’s, industry technology (e.g. CNS, Swift, OMGEO), data and reporting toolsets (e.g. ADS/SQL, Microsoft Excel VBA/Macros, Power BI), Python, etc.
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learning data mining jobs Title: machine learning scientist in South San Francisco, CA
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