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Job Title: Clinical Data Analyst / Digital Health Technology / Pharma Industry. Our client, a world-leading Pharmaceutical Company in Cambridge, MA is currently looking for a Clinical Data Analyst to join their expanding team.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows. Expertise in Databricks, Apache Spark, and big data technologies.
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Focus is given to discount rate and cost/revenue per student monitoring, leveraging institutional aid to assist in enrollment and retention goals, and fostering a data-driven and collaborative culture across Concordia University.
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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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The employer will alternatively accept a PhD in Financial Engineering, Quantitative Finance, Statistics, Data Science, Applied Math, Computer Science, Econometrics, or related field of study plus 3 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, Data Scientist Lead/VP, Sr Quantitative Analyst, Sr Bond Analytics Analyst, Financial Research Analyst, Financial Product Development Associate, or related occupation.
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Job Summary: The Logistics Data Analyst is responsible for analyzing logistics data to identify trends, improve processes, promote automation and support decision-making. Technical Skills: Proficiency in data analysis tools (e.g., SQL, Excel, MS Query), data visualization software (e.g., Crystal Reports, Tableau, Power BI), and statistical analysis.
$70,000 - $80,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch; Python development experience with proficiency in Spark or PySpark and in using API; AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models; Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Job Title: Data Engineer. As a Data Engineer at. Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
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This role would be located onsite at our Company headquarters in Parsippany, NJ.The Commercial Enterprise Data Integrity Analyst will be a key point of contact to ensure all trade entry data is entered accurately and timely into our ETRM (Energy Trading and Risk Management) system.
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Fall 2024 Graduate Data Analyst Engineering Co-Op/Intern LOCATIONS: Austin, Folsom. Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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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The data analyst is responsible for managing telecom expenses, analyzing telecom data, and maintaining accurate inventory records. Job Title: Data Analyst. Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
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machine data analyst jobs Title: data engineer Company: Cvs Health
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