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Proficiency using leading software vendors for financial data and fixed income modeling, including Bloomberg, Aladdin, Intex, Trepp, and others. Proficiency in programming languages and tools such as Python, R, SQL, MATLAB, C.
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Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience applying a range of 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 exploration.
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Deep technical hands on expertise within Data Science tools and ecosystem. Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.
$176,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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You have experience working with large data sets and have either used or are interested in learning dbt and Python. Analyze internal and external data to gain a deep understanding of our Ideal Customer Profile (ICP) and help identify accounts that meet this criteria.
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Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive would be an advantage.
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Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices.
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, Pytorch, Tensorflow and more to reveal the insights hidden within huge volumes of numeric and textual data. 11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep Learning.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
$127,100 - $209,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency of at least one programming language for data analysis (i.e., Python, R) and cloud-based relational SQL database management systems (e.g., Google Cloud Platform BigQuery). Some experience in one or more areas of advanced ML&AI, including deep learning, computer vision, computational linguistics/conversational AI, or recommender systems.
$30 - $40 an hourInternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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These models power a best-in-class solution that identifies and generates new molecular entities for targets of interest, repurposes existing molecules at any stage of development, uncovers accurate ADME and toxicological insights, and predicts adverse events likely to influence trial success from deep analysis of systems-based pharmacogenomics.
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Experience with data pipeline and workflow management tools: Apache NiFi, Informatica, Talend, DataStage, Alteryx, etc. Implement highly scalable platform components and tools using machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Qualified candidates will have 1-2+ years of experience including a strong background in NLP and Machine Learning or Deep Learning, as well as mastery of Python and familiarity with Tensorflow, Scitkit-learn, Pandas, etc.
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Also, you will be leveraging your expertise in data analytics and deep understanding of industry-specific challenges, you will collaborate closely with cross-functional teams to develop tailored solutions that drive business growth and innovation.
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Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT Strong analytical and problem solving skills. The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics AWS services Airflow.
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