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Proficiency with relevant software or programming languages, e.g. MATLAB, SIMCA, gPROMS, DeltaV, OSI PI, R/R Shiny, Python, machine learning libraries. Masters or PhD. in Chemical Engineering, Bioengineering, Data Science/Engineering, Computer Science, Computer Engineering, or related fields.
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We extend rapidly evolving technical capabilities – such as remote sensing and signal processing techniques, data science, software tools, and systems analysis – to under-served mission needs across the domestic and international landscape.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. e Apache Kafka or Kinesis or RabbitMQ)Has worked with systems processing large amounts of data Has worked with partner data scientist, data analysts and other domain experts to understand their needs and be able to develop solutions Experience working with AWS or similar cloud platform technologiesAuthorized to work in the United States with or without sponsorship.
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, 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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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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Founded in 2018 and headquartered in Boca Raton, Florida, Jushi is a vertically integrated, multi-state cannabis company that develops and operates high-end retail locations, premium brands, state-of-the-art cultivation, processing, manufacturing facilities, along with a cutting-edge online platform that is setting a new standard for a sophisticated, data-driven, modern cannabis experience.
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Independently manage interactions with clinical monitors, data management, safety, regulatory, pharmaceutical science, QA team members etc., both internally and externally including our CRO Partners, to ensure ongoing performance alignment.
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The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step- change in our ability to leverage data, knowledge, and prediction to find new medicines.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Experience with cloud-based data storage, analytics & data science platforms.
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At OneCyte, you'll play a pivotal role in advancing biotechnology through commercial cell line development contract campaigns, cutting-edge R&D efforts, and the development of state-of-the-art technologies.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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big data science processing r python jobs Company: Pwc in Cambridge, MA
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