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Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you.
Starting at $159,000 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP). Proficiency in programming languages such as Python, R, and relevant libraries and frameworks (e.g., Sklearn, TensorFlow, PyTorch.
$127,950 - $191,962.5 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands-on development experience working with version control systems (we use Git) and Big Data and Cloud platforms (Hadoop, Spark, Amazon Web Services (AWS), Google Cloud (GCP. Strong command of querying and programming languages (SQL, R and python - numpy, pandas, sklearn, TensorFlow & Keras), and visualization tools (Excel, Tableau, matplotlib/seaborn/plotly in python packages.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The role involves designing and deploying AI models using machine learning and deep learning techniques within big data environments. Work with the Cloudera suite to maintain and manage big data workflows, ensuring compatibility with AI model requirements.
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Database development and use for machine learning and big data applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, data structures, and statistical models.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You have opportunity to learn and develop skills in cutting edge big data technologies: BigQuery, Airflow, Looker, TensorFlow, etc. Use tools and programing methods to build scalable ETL framework that transforms and loads large volume of data to BQ data warehouse.
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Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains. Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as python or java.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Technologies in use (may vary by project) include Pytorch, Tensorflow, scikit learn, XGBoost, Spark, SageMaker, and a number of AWS technologies for big data processing. Amazon’s location data and routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon Last Mile Delivery.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Senior Data Scientist. - Collaborate with data scientists, software engineers, and product managers to understand project requirements and deliver high-quality solutions. SimVentions is a 100% employee-owned business and has consistently been voted one of Virginia's Best Places to Work. We are actively seeking a highly skilled and motivated Software Engineer with interest in Artificial Intelligence (AI) and Machine Learning (ML) to join our innovative development team.
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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. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Big data” doesn’t faze you. At least 2 years’ experience with Pytorch, Tensorflow or other Deep Learning frameworks. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
$229,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep LearningManager, Data Scientist, Fraud. The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters.
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Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies.
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Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous. Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
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At least 4 years’ experience in Python, Scala, or R for large scale data analysis. At least 2 years’ experience in open source programming languages for large scale data analysis. New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data ScienceCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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