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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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Experience with data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (SQL, Tableau, Power BI.
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Unix, R, Python, or other scripting/programming languages. The primary purpose of the Associate Data Scientist is to work as a computational scientist in the laboratory of Dr Kunal Rai, in Genomic Medicine Department at The University of Texas MD Anderson Cancer Center, Houston, Texas.
$128,000Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
RemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Develop and implement cutting-edge AI solutions using natural language processing (NLP), deep learning, large language models (LLM), and Gen AI. Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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Proficient in Python, machine learning libraries & frameworks (TensorFlow, PyTorch, scikit-learn) Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
$170,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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As part of the Data Engineering team, the Lead Python Web Developer will work closely with Business domain experts and Data Engineers to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
$75 - $95 an hourFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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As part of the Business Data Management team, the Data Specialist will work closely with business domain experts and Data Scientists to solve real-world oil and gas midstream problems by unlocking the data asset value and enabling advanced analytics, machine learning, and artificial intelligence.
$125,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in command line interface/Linux environment, and proficiency in programming language such as Python, Perl, R, MATLAB etc. Experience working with large-scale biological data (scRNSeq, TCR-Seq, bulk RNSeq, whole-exome sequencing, whole-genome sequencing data.
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Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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