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The Data Scientist is a key role in the transformation of business. Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc.
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Experience in AI Machine learning as a Data Scientist, creating trends/analysis about the business to help the org. The main function of a Data Scientist is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems.
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Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but not limited to Python, R, Scala, or equivalent; Spark, Hadoop file system and others (15.
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Leverage a broad stack of technologies - Python, Conda, Flask, Dash, Hugging Face, LangChain, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
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Equivalent Experience: Bachelor's Degree in mathematics, computer science, statistics or related field with five to eight (5-8) years as a data scientist preferably with an electric utility or power systems environment.
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Familiarity with big data platforms (like Spark, Databricks), machine learning frameworks (like Tensorflow, Keras, MXNet or PyTorch) and libraries (like scikit-learn, numpy, pandas, and scikit-learn) and ability to learn new technologies quickly.
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We are looking to bring in a bright and enthusiastic mid-level data scientist with a specialized focus on time series modeling within our Data and Analytics COE. The mission of this team is to develop world-class data science, machine learning, and statistical solutions to extract insights and enable data driven decisions that improve our business and enhance customer experiences.
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Lead Data Scientist - Remote. 7+ years of experience as a data scientist, data analyst, or similar role. 5+ years of experience coding in statistical and database languages (SQL, Python, R, Spark, etc.
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Querying, pre-processing, data cleaning, feature engineering and analyzing large amounts of structured and Unstructured data(terabytes/petabytes) across multiple data sources using structured query language(SQL), python, pytorch, pyspark, R, spark and scala.
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Statistician, data analyst, data scientist). We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Experience with a range advanced techniques and emerging approaches to big data and data science (Python, Spark, TensorFlow, H2O, Dask, etc),extensive experience with SAS/SQL/Hive for extracting and aggregating data.
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud. Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
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Experience with Big Data and analytics leveraging technologies like Hadoop, Spark, Scala, and MapReduceDeep learning experience with TensorFlow is a plus. As a Lead data scientist in ERP team, you will help design, enhance, and build next generation fraud detection solutions in an agile development environment.
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Statistical modeling, machine learning and optimization as a data scientist or team leader. Understanding of data preparation, machine learning, deep learning, and natural language processing.
$155,400 - $213,700 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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