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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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A manufacturing client of Insight Global's is actively looking for a Machine Learning Engineer to join their Data Science team that currently consists of a Data Science Manager, a Data Engineer, and a Data Scientist.
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Data science, machine learning, optimization models, PhD 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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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). As a data scientist, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
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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)Primary Location.
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Machine Learning Engineer - Marketplace Growth (TikTok Global E-Commerce Supply Chain And Logistics)
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3+ years experience as a Machine Learning Engineer, Data Scientist, or similar role. Experience with big data processing frameworks (, Hadoop, Spark) and distributed computing for efficient data mining on large-scale datasets.
$136,800 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Apache Spark, including creating clusters in cloud infrastructure and utilizing Spark for machine learning tasks. Demonstrated proficiency in implementing, evaluating, and extending cutting-edge data science methodologies, including data labeling, ETL processes, and data standardization practices.
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Demonstrated experience conducting data science using the Apache Zeppelin and Jupyter notebooks platforms and Spark/Pyspark. ResponsibilitiesWe are seeking a mission-focused Data Scientist to support and contribute to our government customers success in Reston, Chantilly, or McLean, VA.
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Fuse’s innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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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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