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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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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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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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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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Work collaboratively with cross-functional partners including product managers, operations and data scientists, identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions and quantify impact.
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As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. - Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.
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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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Familiarity with Artificial Intelligence/ Machine Learning, Robotics Process Automation and Blockchain and their impact on the regulatory environment. In addition, our team manages, automates, analyzes and visualizes data using data transformation and visualization tools to support process improvement initiatives.
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10+ years of experience in data engineering, data science, and software engineering. Professional experience optimizing machine learning workflows and maintaining data pipelines.
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Work with top-flight software, mechanical, and electrical engineering talent from places like Google, Palantir, and NASA JPL. We are scaling our engineering team and looking for world-class engineers with experience and expertise in building scalable software solutions for real-world problems.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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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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Field experience: hands-on solar, electrical panel wiring, or related electrical installation; familiarity with utility and field metering and data collection software. Bachelor's degree in engineering or related field (preferred); or, Electrician Trainee/Apprentice/Certified Electrician, or commensurate experience.
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You will lead efforts to build machine learning models that predict disease from whole genome sequence data. Experience with PyTorch, JAX, TensorFlow or equivalent machine learning framework.
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You will work on a variety of innovative and meaningful projects, starting with working on web interfaces for Ouva Care Automation & Patient Assistant Platforms that display live, streaming data by interfacing with our backend systems powered by machine learning.
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machine learning data mining software engineering visualization jobs Company: Sheetz in San Francisco, CA
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