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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch.
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Understanding of the drug discovery process and its statistical applications. Explore the application of artificial intelligence (AI) and machine learning (ML) techniques for problem-solving.
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The LGR is in search of a motivated computational biologist/bioinformatician, who will use their skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems to apply computational and statistical methods to analyze and interpret data obtained from the next generation of functional genomics screens.
$200Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Build and deploy machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, and time-series forecasting end to end through scoping, researching, prototyping and productising with tools such as Git, Sagemaker and Airflow.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Set the strategic direction across several areas within modeling across the enterprise: New statistical model/scorecard development across Fraud, Marketing, Credit and potentially other areas of the business, Management of the existing suite of models, Collaboration with technology on a machine learning platform deployment, Lead the team in applying sophisticated machine learning methods to a wide variety of complex tasks, and Overall 1st line governance for model risk management.
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By developing novel statistical learning methods and applying them to integrate various -omics datasets, Freenome is a leader in modeling specific biological mechanisms to capture disease dependent signatures such as gene expression, immune response, tumor burden, the tissue of origin, and 3D chromatin structure.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Provide thought leadership and technical proficiency in data driven decision and opportunities using various analytic methods such as predictive modeling, clustering, text mining, machine learning statistical forecasting, optimization, simulations etc.
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Statistical analysis experience, including but not limited to 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.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in Data Science, statistical modeling, and machine learning. Pave is working with 5,500+ companies today, including some of the best technology logos out there like Credit Karma, RO, Faire, Dropbox, Airtable, Sweetgreen, Checkr, Hubspot, Snackpass, Attentive and more.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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5-7 years of applied experience in machine learning, deep learning methods, statistical data analysis and complex data visualization; experience in life science industry would be a plus. Master's degree or PhD in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related discipline.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
$150ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
$200,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Extensive knowledge of ML algorithms, including a deep understanding of statistical modeling, and Python development tooling and libraries (Pandas, Numpy, Scikit-learn, Pytest, PySpark, SQL, Airflow, MLflow, Hugging Face Transformers, Tensorflow or PyTorch.
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machine statistical jobs in South San Francisco, CA
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