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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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RequirementsBachelor’s degree in Computer Science, Information Technology, Data Science, or a related field5+ years of experience in data analysis, data engineering, or a related fieldProficiency with data analysis tools and languages such as SQL, Python, R, etc.
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Experience in architecture design and development of largescale data platforms and data applications in cloud environments like AWS, GCP and Azure; Experience in building highly performant and scalable data ingestion pipelines, and hands-on experience with cloud-based big data technologies such as Spark, BigQuery, and Azure Data Lake Analytics.
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Experience developing deep learning models Hands-on experience in training, fine-tuning, and optimizing machine learning models in the context of LLMs and Generative AI Experience deploying transformer-based architectures such as GPT, LLaMa, and BERT Great understanding of classical deep learning models/algorithms: CNN, RNN, LSTM Preferred Experience.
$190,000 - $230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Prefers a master’s degree in Math, Statistics, Data Science, Economics, Epidemiology, Public Health, or related field. Bachelor degree in Math, Statistics, Data Science, Economics, Epidemiology, Public Health, or related field preferred or relevant experience in lieu of degree.
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Biology, Biochemistry, Cardiac Function & Interventional Technology, Chemistry: Polymers/Materials Science, Computer Science, Engineering: Aerospace, Biomedical, Computer Science, Chemical, Electrical, Materials Science/Polymers, Mechanical, General Engineering, Health Sciences, Kinesiology, Informatics and/or Data Science, Pharmaceutical Science, Physics, Technical Design: Industrial Design/Product Design.
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The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Providing hands-on experience in quantitative research, model development, and data analysis. Bachelor’s, Master’s, or Ph. D. in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhD San Francisco, California (Hybrid On-site): $174,900 - $199,700 for Data Science PhD Candidates 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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Support and extend the Beacon ETRM subsystems, including invoicing, market data analytics, and risk monitoring tools. Workload: 100%Are you passionate about software development and eager to gain hands-on experience in the energy trading sector.
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Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.
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REQUIREMENTS Master’s Degree in Analytics, Engineering, Mathematics, Statistics, or related field Minimum of eight (8) years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling, or related field Prior team management experience Knowledge of statistical modeling and data science concepts Hands on experience with SQL, Python, and data visualization tools such as Tableau Financial services experience highly desirable.
$180,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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data science hands jobs in Manhattan, NY
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