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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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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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BS in Medical Technology, Clinical Laboratory Science or a chemical, physical, or biological science degree. Demonstrate proper communication skills to relate pertinent data or information about the patient or laboratory sample to appropriate care provider.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Preferably a master's degree related to Intelligence Studies, Forensic Science, Security Studies, Computer Science, Cybersecurity, Data Analysis, or a related field. Behavioral Science/ Behavioral Analysis/Behavioral Threat Assessment experience or training.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Common areas of study include but are not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration, Audit Management, Risk Management.
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A masters degree from an accredited college or university in one of the following areas of study: environmental or chemical engineering, limnology, environmental science, marine science, geology, biology, earth science, chemistry, physics, or health science; or 2.
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About The Manager - Risk Finance Data Science Role. The primary responsibility of the team is to leverage data, latest tools, and advanced techniques to innovate and help the organization make sound forecasts of the company’s Billed Business and Loan amounts for all of AXP in the context of the annual Comprehensive Capital Analysis and Review (CCAR) exercise.
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Experience with reporting and visualization tools such as Tableau, Looker or other visualization toolsRequired Education Bachelor’s Degree in Computer Science, Data Engineering, Mathematics, or related field, or equivalent industry experienceMaster’s Degree a plusThe hiring range for this position in Santa Monica, CA is $199,000.00.
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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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We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
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Experience in Data Analytical tools such as Tableau creation and reporting, Power BI. On-Board Administrative is hiring a Data Analyst. Manage stakeholder / user permissions and appropriate levels of access to project portfolio data, dashboards and reports.
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Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Demonstrated ability to lead and execute data science projects with minimal supervision.
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data science jobs Company: Intuit Inc in Newark, NJ
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To ATS or not to ATS
As hiring is becoming more analytical and data-driven, companies have found ways to incorporate technology to help hire and recruit more efficiently. ATS, also known as an applicant tracking system, has become one of the most widely adopted technological recruiting tools to date. In fact, according to data from Capterra:
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