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Pursuing a Bachelor’s or Master’s Degree in Management Information Systems, Business Analytics, Computer Science, Software Engineering, Information Technology, Data Science/ Analytics, Statistics User Experience Design, or a similar field of study from an accredited college or university.
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A PhD in Metallurgical Engineering or Materials Science (Metals Focus) OR; A Master's degree in those fields with 2 years of relevant experience in the production of Aerospace nickel-based alloys, steel, or aluminum OR; A Bachelor's degree with 4years of relevant experience in the production of Aerospace nickel-based alloys, steel, or aluminum.
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The role is highly cross-functional, which means you get to work with product, engineering, marketing, business development, and data science. You have opportunity to learn and develop skills in cutting edge big data technologies: BigQuery, Airflow, Looker, TensorFlow, etc.
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Bachelor's degree in any Life Science, Medical Laboratory Scientist (ASCP orequivalent), and/or Technologist in Cytogenetics (ASCP or equivalent) required. Utilizes effective LIS and equipment data management skills.
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Extensive experience in Azure programming and other facets such as Function Apps, Event Hub, Service Bus, Cosmos DB, APIM, Front Door, Redis, AKS, API Managment, Power BI, Azure Data Factory, Storage Accounts, traffic management, App Gateway, Key Vault, Azure Monitor, etc.
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Sharp data analytics skills (data science, business intelligence, data visualization, etc.) Our diverse and extended platform of experts ranges from engineers, data scientists, to financial, operating and industry executives, making A&M the partner of choice when a generic approach to problem solving is simply not enough.
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AWS Certified Data Analytics, IBM - Data Science/Analyst Professional and/or SNOWPRO certifications are a nice to have. VP Application Testing and Quality Engineering is responsible for leading a team of data quality engineers specialized in end to end data flow testing, thereby ensuring accuracy, reliability and integrity.
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Proficient in actuarial software, database, and reporting toolsRequired Education Bachelor’s Degree in Actuarial Science, Mathematics, Statistics, Economics or related field with demonstrated record of academic excellence.
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Master's degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, Business Administration or other applied quantitative science, or equivalent education and related training.
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Technical expertise in areas such as e-commerce platforms, POS systems, inventory management systems, data analytics, and cloud technologies is highly desirable. Bachelor's degree in Computer Science, Engineering, Business Administration, or related field.
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CrowdStrike’s Data Science team is expanding. we are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager specializing in machine learning to our growing team.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Hands-on experience with data security tools and technologies, such as encryption, data loss prevention (DLP), hardware security modules, and managing a hybrid environment inclusive of public cloud, private cloud, and traditional on-prem.
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We are seeking a seasoned Data Science leader who is an expert at connecting the dots between business, data and tech, can lead a global team of data scientists, operate with a startup mentality to deliver new products and establish our experimentation framework in Humana Pharmacy Solutions.
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What you have:Bachelor's degree in quantitative analytics, Economics, Finance, Statistics, Mathematics, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative discipline.
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data science jobs in Charlotte, NC
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