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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning. Experience with deep learning frameworks such as Keras, Tensorflow, Pytorch, etc.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Familiarity with deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Overseeing teams and programs analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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Deep expertise in designing, building, and monitoring ETL/ELT data processes, as well as data modeling, data warehousing, and/or data lakes. Extensive experience using Snowflake, AWS SageMaker, GCP/GCP BigQuery, DBT, and Airflow for AI/ML model deployment and operationalization.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Utilizing statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning, as needed. Experience in designing and implementing algorithms involving one or multiple of approaches such as AI explainability, stochastic processes, classification, clustering, deep learning.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong programming skills with one or more languages such as Python, PySpark, Apache Spark, Java, JavaSript, C, C. This includes, but is not limited to, setting up SageMaker instances, creating Docker images, configuring lambda functions, setting up orchestration layer via Airflow, deploying endpoints, and creating API gateways.
$185,800 - $323,400 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 10 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition.
$215,000 - $315,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Successful candidates for this role must have very strong analytical and research skills, a deep understanding of statistics and statistical modeling, a strong understanding of modern machine learning and its mathematical underpinnings, and they must have very strong programming skills with SQL, and R, Python.
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Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experienced with traditional as well as modern machine learning and statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
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A deep understanding of statistical and predictive modeling concepts, including machine-learning or data mining approaches. Master’s degree with a very strong academic background in statistics (e.g. mathematics, statistics, computer science, data mining, machine learning, operations research, physics or a related quantitative discipline.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Responsibilities:Total 7+ years of hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques.
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Apply advanced statistical analysis, machine learning techniques, and deep learning algorithms to solve complex business problems. Develop and deploy machine learning models at scale, utilizing tools like Apache Spark, Databricks, and cloud platforms.
Full-timeExpandApply NowActive JobUpdated 3 days ago
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