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Department: DS/ML (Data Science/Machine Learning) The Role: BigHat Biosciences is seeking an exceptional Senior Data Scientist to join our growing team. Nice-to-haves include:Experience in therapeutic antibody development Experience with data from phage or yeast display or NGS generally.
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Experience in two or more applicable data science disciplines: statistical modeling, machine learning, data mining, time series data analysis, or data engineering. Some example statistical and machine learning methods we use on the data science team include Regression Analysis, Naive Bayes, Random Forests, PCA/LDA/IDA, and Neural Networks and related architectures (CNN, RNN, Transformers, LSTMs.
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Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising.
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Design and apply advanced modeling solutions in the areas of statistical analysis, bioinformatics, data automation, data mining, machine learning and/or data visualization.
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The HP Workforce Employee Experience (HP WEX) team operates in a highly dynamic landscape that delivers a best-in-class, multi-OS Services portfolio powered by software, cloud, data analytics, and machine learning.
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You will be responsible for developing, validating, and implementing cutting-edge machine learning algorithms, including use of Large Language Models (LLM) applied to diverse healthcare data sources, e.g. electronic medical records and to generate medical reports.
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We are seeking a multi-disciplinary Bioinformatics Data Scientist (Systems Biology and Data Visualization) to develop scalable bioinformatics pipelines, pioneer novel methods for multi-modal data analysis (clustering, network analysis, machine learning), and build data visualization solutions and web portals.
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Build production grade models on large-scale datasets to measure effectiveness across products by leveraging statistical modeling, machine learning and data mining techniques. Designing new machine learning systems to power the fraud prevention and risk reduction efforts at Robinhood especially in product areas.
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MINIMUM REQUIREMENTS: Master’s degree or U.S. equivalent in Computer Science, Statistics, Math, Data Science, Engineering, or a related field., plus 3 years of professional experience as a Data Scientist, Machine Learning Engineer, Machine Learning Research Scientist, or any occupation/position/job title involving statistical modeling, machine learning, and probability distributions.
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Knowledge of data science and machine learning core skills. Typically has 7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
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Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
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Broad knowledge of machine learning, statistical modeling, or data mining. Typically 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
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Your expertise in data analysis, machine learning, and statistical modeling will drive audience and revenue growth, provide key insights and recommendations, enhance the user experience, increase product efficiency, and continuously evolve our safety solutions.
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As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.
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We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. You are perpetually curious and have an ever growing learning mindset, staying up-to-date with the latest advancements in data science and marketing analytics.
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learning job Title: data scientist in Redwood City, CA
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