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Day to day this involves understanding the nuances of their integration, working alongside Sift’s data science team to ensure the customer’s machine learning model health, meticulously whiteboarding the flow of their data to expand their integration, and being the internal voice of the customer.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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You will partner with business leaders at RBNA and beyond to help translate business questions into analytical problems that can be solved by pragmatically applying the full Data Science toolbox, from simple analytical and statistical methods all the way to machine learning, where reasonable.
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Possess knowledge of data science, machine learning, data analysis. Bachelor's degree in Computer Science. 3-5 years' experience as a full stack software developer with strong experience developing web applications with Typescript / Node.js.
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Graduate degree related to computer science, geography, GIS, remote sensing, or physical / biological / environment / natural resource discipline with substantive coursework in geospatial analysis and modeling, and three (3) years of work experience in geospatial analysis and programming.
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Bachelor’s degree in (e.g., computer science, computer/software engineering, or similar) and Salesforce Administrator/Developer Certification preferred. Ensure compliance with IT policies, procedures, and best practices, driving adherence to security protocols and data governance standards.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As Principal Data Scientist, you participate in the operational activities involved in the planning, conduct, and completion of data science projects in the FMCNA enterprise. Develops technical specifications to implement data science workflow and engineering.
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Students also will demonstrate an understanding knowledge of using Pandas, NumPy, and Matplotlib to do statistical analysis and data visualization. Master's degree in computer science or a closely related field with at least 18 credit hours of graduate level coursework in Computer Science or a related Information Technology field.
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Data Science AI Client. Framework ( TensorFlow, PyTorch, Scikit-learn or similar) Azure related AI/Client services. Data Science AI Client. Work Experience (Years) Last Used (Year) End Customer Names.
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The Network Services organization has embarked on a journey to mobilize a product centric operating model, for which Service Assurance will be constructing the guardrails, standard operating procedures, product catalogue change control procedures, and associated reporting / data aggregation as it relates to the product centric operating model.
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Professional knowledge of practice acquired by obtaining a Bachelor/Master of Science in Nursing from an accredited program or accredited Associate Degree in Nursing (with commitment to complete BSN/MSN within 2 years.
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Maintain data integrity and ensure compliance with company SOPs and specifications, FDA, GLP, QSR and cGMP regulations. Typically requires Bachelor's Degree in Science-Chemistry or Biological Science.
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As a software engineer at Lyft, you'll collaborate with other software engineers and cross functions like product, data science and analytics to lead and execute large projects from idea.
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Bachelor’s Degree in Information Systems, Analytics, Operations Management, Data Science, or other Quantitative Field. Intermediate experience with Einstein Analytics, Tableau or other data visualization software.
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