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Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions.
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5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, etc 3+ years of experience prepping structured and unstructured data for data science models.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, AI/Data Science Experience is a plus.
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Job Description: The Data Scientist Generative AI Architect , you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges.
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3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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To support this vision, Kimberly-Clark North America (KCNA) is investing in the growth of our high-performance Data Science and Advanced Analytics Strategy team and we are looking for entrepreneurial-minded innovators to join us in our journey.
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This role supports biomedical research projects through the use of state-of-the-art genomic, computational, data science, and machine learning tools to understand immune mechanisms governing lung injury and repair.
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The ideal candidate will be responsible for designing, developing, and enhancing the Python data science tools and frameworks. Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts.
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In order to be successful and achieve the above responsibilities, the Data Architect must possess the following qualifications: Education Required: A bachelor’s degree from an accredited college or university in computer science, data science, engineering, or related field, required.
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Basic Qualification : -NEED actimize or Fircosoft (lexisnexis) -compliance domain background is important - AML, Fraud, OFAC -need to be well versed in database queries - sql -Unix scripting -Strong technical skills and strong data support skills -Demonstrated track record in end to end software development.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Provide consultation to clients or other engineers on topics such as climate control systems, energy modeling, data logging, building automation systems, lighting or daylighting design, sustainable design, and energy auditing.
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Work closely with various Business, IT, Analyst and Data Science groups to collect business requirements. Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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data science jobs Company: Capgemini in Chicago, IL
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